Life at WovenLight
You can't change conditions - just the way you deal with them.
Time will multiply whatever you feed it. Good habits make time your ally. Bad habits make time your enemy.
Learn the rules like a professional, so you can break them like an artist.
If you care about the people you work with then you work harder.
Start where you are, use what you have, do what you can.
What we stand for
The things we obsess over as a firm.
Performance is our North Star
We’re a performance company first, a technology company second. We deploy cutting-edge IP to help our clients be the best they can be.
Clarity of Purpose
Pinpoint where you can have the greatest impact in the shortest amount of time and deliver. People will see the results and back you as you tackle the harder, deeper opportunities. Decision = Purpose * Context
Flywheels
The process of compounding is a superpower. As a firm we strive to invest in building assets that compound; so that each execution cycle is faster, more precise, more impactful than the last.
Reducing Waste
It’s good for the planet, it’s good for our clients, it’s also good for us. Life is too short to spend wasting time, effort or resources.
Talent Density
We strive for magnetism; naturally attracting the talent that fits our culture. Recruit exceptional employees. Hire exceptional freelancers. Work with exceptional partners. Great people want to work with you because great people already do.
Loops, Not Lines
Never stop learning. One of the most powerful things about data is not the special insight it gives you, but the fact that it gives you a feedback mechanism.
That Human Touch
We’re nice to work with. We’re (relatively) normal. We have a sense of humour. We’re not arrogant or demanding. We bend over backwards to make things work.
Tempo & Rhythm
In sports, elite teams control the game; in movies suspense isn’t created from speeding things up, it comes from slowing things down. As a firm we obsess about mastering the art of good timing.
Leave Space for Others
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The team
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Before WovenLight, Agnaldo worked as an Analytics Consultant at Kearney, a global management consultancy, supporting their data and AI capabilities for eight years. Agnaldo has done more than 25 projects globally, applying advanced analytics techniques to drive business impact across various industries, such as manufacturing, healthcare, education, utilities, and consumer goods.
Agnaldo holds a degree in Computer Engineering from the Technological Institute of Aeronautics in Brazil.
Data science and AI are my tools of choice in the business realm. It offers a clear pathway through complex information, allowing for decisions grounded in solid data, not just intuition. These disciplines bolster operational efficiency and strategically enrich asset management, transforming potential into tangible performance improvements.
Before WovenLight, Agnaldo worked as an Analytics Consultant at Kearney, a global management consultancy, supporting their data and AI capabilities for eight years. Agnaldo has done more than 25 projects globally, applying advanced analytics techniques to drive business impact across various industries, such as manufacturing, healthcare, education, utilities, and consumer goods.
Agnaldo holds a degree in Computer Engineering from the Technological Institute of Aeronautics in Brazil.
Akhil works as a Senior Data Scientist at WovenLight. In his role, he is focused on the development and deployment of analytic solutions which drive value creation at WovenLight portfolio companies.
Prior to WovenLight, Akhil was Lead Data Scientist at a property technology start up, where he managed the development of the data ecosystem and machine learning algorithms to aid the real estate investment deal flow - from sourcing and purchasing to managing residential real estate.
Akhil holds a MEng in Mathematical Computation from UCL where he was introduced to Data Science during his thesis focusing on algorithmic asset allocation into Initial Coin Offerings (ICOs) during the cryptocurrency boom.
We have just touched the surface of understanding all the data that is generated all around us. Being able to effectively manage and analyze this data can unlock untapped efficiencies and value creating opportunities in every company. I have seen the immense value of data in the housing market and am excited to be a part of the journey to enable our portfolio companies to unlock the power of their data.
Akhil works as a Senior Data Scientist at WovenLight. In his role, he is focused on the development and deployment of analytic solutions which drive value creation at WovenLight portfolio companies.
Prior to WovenLight, Akhil was Lead Data Scientist at a property technology start up, where he managed the development of the data ecosystem and machine learning algorithms to aid the real estate investment deal flow - from sourcing and purchasing to managing residential real estate.
Akhil holds a MEng in Mathematical Computation from UCL where he was introduced to Data Science during his thesis focusing on algorithmic asset allocation into Initial Coin Offerings (ICOs) during the cryptocurrency boom.
Andrew joined WovenLight at its inception in 2019. He is passionate about blending diverse talent profiles in order to drive significant value creation at WovenLight portfolio companies.
Prior to WovenLight, Andrew was a Strategy and Operations Principal at QuantumBlack. In this role he supported post acquisition integration into McKinsey, led finance and governance enhancements and helped drive expansion around the world. Andrew previously held roles as an Engagement Manager at McKinsey and Structured Bond Trader at Citigroup.
Andrew holds an MBA from London Business School and MSc Finance from London School of Economics.
I have seen first hand how a team with a variety of backgrounds, perspectives, experiences and capabilities can produce impact far greater than the sum of their parts.
At WovenLight we are determined to build an organisation and culture which weaves together the diverse talents of our investment professionals, data/analytics practitioners, software developers, designers and other colleagues.
Andrew joined WovenLight at its inception in 2019. He is passionate about blending diverse talent profiles in order to drive significant value creation at WovenLight portfolio companies.
Prior to WovenLight, Andrew was a Strategy and Operations Principal at QuantumBlack. In this role he supported post acquisition integration into McKinsey, led finance and governance enhancements and helped drive expansion around the world. Andrew previously held roles as an Engagement Manager at McKinsey and Structured Bond Trader at Citigroup.
Andrew holds an MBA from London Business School and MSc Finance from London School of Economics.
At WovenLight, Daniel is a Senior Software Engineer, focussed on creating scalable robust assets with a focus on ML integration.
His previous role as a Senior Software Engineer with Eigen Technologies was similar, focussing on all aspects of the application lifecycle and on developing and delivering ML Infrastructure.
Daniel has a Bachelor in Music from Trinity College Dublin and an MSc in Computer Science from University College Dublin.
Outside of work Daniel loves to learn new musical instruments, cook and enjoys London's cultural scene
Working at WovenLight allows me to develop software in a highly iterative, progressive way. I work with a highly skilled team that are always looking to the future.
At WovenLight, Daniel is a Senior Software Engineer, focussed on creating scalable robust assets with a focus on ML integration.
His previous role as a Senior Software Engineer with Eigen Technologies was similar, focussing on all aspects of the application lifecycle and on developing and delivering ML Infrastructure.
Daniel has a Bachelor in Music from Trinity College Dublin and an MSc in Computer Science from University College Dublin.
Outside of work Daniel loves to learn new musical instruments, cook and enjoys London's cultural scene
Danton works as a Principal Product Manager at WovenLight. In his role, Danton oversees the research, design and development of a suite of AI-powered solutions to improve performance across the investment life cycle.
Danton started his career at Bain & Company, where he served as a Management Consultant advising clients primarily in the Financial Services space, in topics related to Technology and CX strategy. Later, he transitioned to a Product Management leadership role within Bain’s NPS Prism, a CX benchmarking service built within the firms’ innovation ecosystem.
The latest advancements in AI coupled with its growing availability as APIs has opened a world of opportunities for businesses to generate value in previously unimagined ways. In this context, what motivates me the most is the challenge of building products that transform vision into reality and capture value in real life situations.
Danton works as a Principal Product Manager at WovenLight. In his role, Danton oversees the research, design and development of a suite of AI-powered solutions to improve performance across the investment life cycle.
Danton started his career at Bain & Company, where he served as a Management Consultant advising clients primarily in the Financial Services space, in topics related to Technology and CX strategy. Later, he transitioned to a Product Management leadership role within Bain’s NPS Prism, a CX benchmarking service built within the firms’ innovation ecosystem.
David runs all of WovenLight's deployments. He is a data specialist and has worked almost exclusively with Private Equity owned businesses over the last 10 years on value-creation projects. David has had 2 roles as a Chief Data Officer, most recently at WithIntelligence where he was a key part of the team overseeing the secondary buyout of the business from Intermediate Capital Group to Motive Partners.
David previously ran the data analytics team at AlixPartners in London and prior to that was a Director at Deloitte. His first job after university was as a Gurkha Officer during which time he saw active service in Bosnia, Kosovo and Sierra Leone.
David lives with his family in Richmond in London. He did his undergraduate degree at Cambridge University and is a former President of the Cambridge Union. He is also a member of the Board of Trustees of the Cambridge Union.
I have seen many businesses gain tremendous value from improving their use of data. Often it requires the use of algorithms, AI and other data science techniques. However, no organization should ever underestimate what can be achieved through the use of one brilliant visualization
David runs all of WovenLight's deployments. He is a data specialist and has worked almost exclusively with Private Equity owned businesses over the last 10 years on value-creation projects. David has had 2 roles as a Chief Data Officer, most recently at WithIntelligence where he was a key part of the team overseeing the secondary buyout of the business from Intermediate Capital Group to Motive Partners.
David previously ran the data analytics team at AlixPartners in London and prior to that was a Director at Deloitte. His first job after university was as a Gurkha Officer during which time he saw active service in Bosnia, Kosovo and Sierra Leone.
David lives with his family in Richmond in London. He did his undergraduate degree at Cambridge University and is a former President of the Cambridge Union. He is also a member of the Board of Trustees of the Cambridge Union.
David works as a Data Scientist at WovenLight. In his role, he is passionate about using his background in mathematics to develop analytical solutions that unlock meaningful value.
Previously, David worked at two FinTech lenders; at Funding Circle, he created analytics-backed strategies to enhance their short-term lending product, by (among other things) optimising their pricing and marketing. At Oodle, his focus was streamlining and forecasting of customer services processes.
David holds an integrated master’s degree in mathematics from the University of Oxford. His study of statistical machine learning led him to write his dissertation - titled parallel algorithms for gradient descent methods.
The gap between the leading edge and trailing edge of what companies are doing with their data is only growing bigger. And, in the long run, the companies that do best will be those that best utilise their data, especially those who learn iteratively. I'm excited to be working at WovenLight, where I can work on a variety of projects across industries, but with this key focus in mind.
David works as a Data Scientist at WovenLight. In his role, he is passionate about using his background in mathematics to develop analytical solutions that unlock meaningful value.
Previously, David worked at two FinTech lenders; at Funding Circle, he created analytics-backed strategies to enhance their short-term lending product, by (among other things) optimising their pricing and marketing. At Oodle, his focus was streamlining and forecasting of customer services processes.
David holds an integrated master’s degree in mathematics from the University of Oxford. His study of statistical machine learning led him to write his dissertation - titled parallel algorithms for gradient descent methods.
Fraser joined WovenLight in 2022 driven by a belief that the next phase in the evolution of private equity would be heavily impacted by the use of data in all aspects of the investment lifecycle.
Prior to WovenLight, Fraser worked at The Carlyle Group within their European buyout advisory group for 17 years, latterly as a Managing Director where he was based in London and focussed on UK origination, execution and monitoring. Exited investments where he was a Board member include PA Consulting, Zodiac Pool Solutions, RAC and Talaris. Prior to joining The Carlyle Group, he worked at Lazard, also in London.
Fraser has a BA in Economics & Politics from the University of Durham.
Technology availability and awareness creates an opportunity for private markets firms to refine and reinvent their edge. A more mature phase in the industry’s evolution coupled with a more complex investment landscape means that technology adoption is likely to be a far more significant factor in defining the most successful firms over the coming, versus past, decade.
Fraser joined WovenLight in 2022 driven by a belief that the next phase in the evolution of private equity would be heavily impacted by the use of data in all aspects of the investment lifecycle.
Prior to WovenLight, Fraser worked at The Carlyle Group within their European buyout advisory group for 17 years, latterly as a Managing Director where he was based in London and focussed on UK origination, execution and monitoring. Exited investments where he was a Board member include PA Consulting, Zodiac Pool Solutions, RAC and Talaris. Prior to joining The Carlyle Group, he worked at Lazard, also in London.
Fraser has a BA in Economics & Politics from the University of Durham.
As a Principal Designer at WovenLight, Gabriel oversees the overall design direction and contributes to the creation of user-centered advanced analytics solutions, collaborating closely with cross-functional teams. With a track record of winning multiple design awards, Gabriel brings extensive experience from leading roles in some of the world's most creative and innovative companies.
Before joining WovenLight, Gabriel served as a Principal Designer at QuantumBlack AI by McKinsey, where he led design initiatives across various industries including banking, oil and gas, and mining. He also played a pioneering role in establishing QuantumBlack Labs, where he spent several years developing AI and machine learning workflow tools for data scientists and engineers. Notably, Gabriel served as the former design lead on Kedro, a now widely adopted framework for production-ready data science, which he contributed to as part of his work.
Gabriel holds a degree in Interactive Art Direction from world-renowned Hyper Island in Sweden and a Master of Arts in Computational Arts from Goldsmiths University of London. Prior to that he graduated with a BA degree in Product Design and Visual Programming.
Design thinking has the transformative ability to sculpt experiences, ignite innovation, and guide us towards user-centric excellence, all while infusing the journey with a sense of enjoyment and fulfillment.
As a Principal Designer at WovenLight, Gabriel oversees the overall design direction and contributes to the creation of user-centered advanced analytics solutions, collaborating closely with cross-functional teams. With a track record of winning multiple design awards, Gabriel brings extensive experience from leading roles in some of the world's most creative and innovative companies.
Before joining WovenLight, Gabriel served as a Principal Designer at QuantumBlack AI by McKinsey, where he led design initiatives across various industries including banking, oil and gas, and mining. He also played a pioneering role in establishing QuantumBlack Labs, where he spent several years developing AI and machine learning workflow tools for data scientists and engineers. Notably, Gabriel served as the former design lead on Kedro, a now widely adopted framework for production-ready data science, which he contributed to as part of his work.
Gabriel holds a degree in Interactive Art Direction from world-renowned Hyper Island in Sweden and a Master of Arts in Computational Arts from Goldsmiths University of London. Prior to that he graduated with a BA degree in Product Design and Visual Programming.
Harry started his career in J.P. Morgan’s Digital Investment Banking and Private Markets groups. This involved delivering AI strategy for Global Investment Banking, and directly turning that strategy into reality by adding data science and AI into all aspects of the investment banking process, from sourcing and pitches to live deal execution. Over the last year, Harry worked closely on J.P. Morgan’s acquisition of Aumni, and was part of a new business unit delivering AI and data-enabled capabilities to clients in the private equity and venture capital ecosystem.
Harry is pursuing an MBA at Harvard Business School for two years, starting in August 2024.
I think the data maturity of public markets investing is coming to private markets, and there will be an exciting growth of data capabilities throughout the ecosystem. I think that extends across all aspects of the investment lifecycle, but especially in portfolio value creation – where investors can truly transform businesses and create lasting value using data science and AI/ML.
Harry started his career in J.P. Morgan’s Digital Investment Banking and Private Markets groups. This involved delivering AI strategy for Global Investment Banking, and directly turning that strategy into reality by adding data science and AI into all aspects of the investment banking process, from sourcing and pitches to live deal execution. Over the last year, Harry worked closely on J.P. Morgan’s acquisition of Aumni, and was part of a new business unit delivering AI and data-enabled capabilities to clients in the private equity and venture capital ecosystem.
Harry is pursuing an MBA at Harvard Business School for two years, starting in August 2024.
Ian works as a Senior Data Scientist at WovenLight. He leverages his background in actuarial and data-driven application development to create analytic solutions which drive value creation within WovenLight's portfolio companies.
Prior to WovenLight, Ian played a pivotal role in an AI startup in South Africa, developing award-winning AI/ML models and data applications. He also held the role as Lead Data Engineer at a supply chain analytics firm, where he built highly scalable data infrastructure.
Ian holds a BCom Hons degree in Mathematical Statistics from Stellenbosch University, where his research focussed on algorithmic trading techniques within the South African market.
My passion is to deliver the 'ah-ha' moments with the insights behind data. Unearthing the potential of data for companies and converting workflows to be data oriented is the most rewarding part of the job. At WovenLight, implementing the value plays to unlock value in portfolio companies, while aligning incentives is such an exciting opportunity and I'm privileged to be part of it!
Ian works as a Senior Data Scientist at WovenLight. He leverages his background in actuarial and data-driven application development to create analytic solutions which drive value creation within WovenLight's portfolio companies.
Prior to WovenLight, Ian played a pivotal role in an AI startup in South Africa, developing award-winning AI/ML models and data applications. He also held the role as Lead Data Engineer at a supply chain analytics firm, where he built highly scalable data infrastructure.
Ian holds a BCom Hons degree in Mathematical Statistics from Stellenbosch University, where his research focussed on algorithmic trading techniques within the South African market.
Jonathan serves as a Senior Adviser to WovenLight, providing expertise in technology, intelligence, cybersecurity, and risk management. His extensive experience within the UK military and the commercial sector positions him to support WovenLight in navigating complex cybersecurity challenges and opportunities.
Jon was previously the Chief Cyber Officer at Liberty Specialty Markets, a role he held from 2019 to 2023, where he developed robust cyber underwriting strategies and policies to support executive and operational functions. He played a critical role in shaping the cyber landscape within LSM’s global operations, implementing innovative models to enhance risk management and ensure compliance with regulatory standards.
Prior to that, Jon served as Director of Cyber-Security at Alix Partners from 2015 to 2019, where he drove cybersecurity initiatives across various sectors, including financial services, telecommunications, and healthcare. His leadership has been instrumental in advising FTSE-100 companies and private equity portfolio companies on strategic security investments, mentoring Chief Information Security Officers, and conducting thorough cybersecurity due diligence.
From 2012 to 2015, Jon held the position of Director Cyber, Intelligence, and Information Integration (DCI3) with the Ministry of Defence, where he oversaw substantial change programs and led operations involving a workforce of 4,000 personnel and an annual budget of £200 million. His efforts culminated in the establishment of the Joint Force Cyber Group and the National Offensive Cyber Programme, fundamentally transforming military cyber operations.
Jon's earlier career includes roles such as Commander of the Intelligence Collection Group, where he successfully streamlined operations and improved joint intelligence initiatives, and he is credited for his strategic insights during his tenure as Deputy Chief of Intelligence for Multi-National Forces in Iraq.
Jonathan has a BSc in Physics from Durham University, an MSc in Systems Engineering from Loughborough University and an MA in Defence Studies from King’s College London. He has received numerous honors for his service, including a CBE for his contributions to national defence intelligence and various accolades from the US Intelligence community.
Jonathan serves as a Senior Adviser to WovenLight, providing expertise in technology, intelligence, cybersecurity, and risk management. His extensive experience within the UK military and the commercial sector positions him to support WovenLight in navigating complex cybersecurity challenges and opportunities.
Jon was previously the Chief Cyber Officer at Liberty Specialty Markets, a role he held from 2019 to 2023, where he developed robust cyber underwriting strategies and policies to support executive and operational functions. He played a critical role in shaping the cyber landscape within LSM’s global operations, implementing innovative models to enhance risk management and ensure compliance with regulatory standards.
Prior to that, Jon served as Director of Cyber-Security at Alix Partners from 2015 to 2019, where he drove cybersecurity initiatives across various sectors, including financial services, telecommunications, and healthcare. His leadership has been instrumental in advising FTSE-100 companies and private equity portfolio companies on strategic security investments, mentoring Chief Information Security Officers, and conducting thorough cybersecurity due diligence.
From 2012 to 2015, Jon held the position of Director Cyber, Intelligence, and Information Integration (DCI3) with the Ministry of Defence, where he oversaw substantial change programs and led operations involving a workforce of 4,000 personnel and an annual budget of £200 million. His efforts culminated in the establishment of the Joint Force Cyber Group and the National Offensive Cyber Programme, fundamentally transforming military cyber operations.
Jon's earlier career includes roles such as Commander of the Intelligence Collection Group, where he successfully streamlined operations and improved joint intelligence initiatives, and he is credited for his strategic insights during his tenure as Deputy Chief of Intelligence for Multi-National Forces in Iraq.
Jonathan has a BSc in Physics from Durham University, an MSc in Systems Engineering from Loughborough University and an MA in Defence Studies from King’s College London. He has received numerous honors for his service, including a CBE for his contributions to national defence intelligence and various accolades from the US Intelligence community.
Konstantinos Georgatzis
Konstantinos Georgatzis
Konstantinos has extensive experience in designing and developing machine learning methods across a variety of industries such as pharmaceutical, banking and telecommunications.
At WovenLight, Konstantinos is leading efforts to embed machine learning methodologies into the full lifecycle of investment activities - creating value for WovenLight investors from origination to exit.
Before joining WovenLight, Konstantinos was an Associate Partner and Head of R&D in QuantumBlack, a McKinsey company. Before that, he completed his PhD in Machine Learning at the University of Edinburgh. Konstantinos has published multiple articles in international machine learning and medical conferences and presented in various venues.
Konstantinos has extensive experience in designing and developing machine learning methods across a variety of industries such as pharmaceutical, banking and telecommunications.
At WovenLight, Konstantinos is leading efforts to embed machine learning methodologies into the full lifecycle of investment activities - creating value for WovenLight investors from origination to exit.
Before joining WovenLight, Konstantinos was an Associate Partner and Head of R&D in QuantumBlack, a McKinsey company. Before that, he completed his PhD in Machine Learning at the University of Edinburgh. Konstantinos has published multiple articles in international machine learning and medical conferences and presented in various venues.
Mark acts as a Senior Adviser to WovenLight, supporting key strategic and commercial activities. Mark’s career in finance spans three decades, allowing WovenLight to benefit from his significant experience and expertise across investing, technology, and leadership.
Mark views AI as critical to the future of both investing, the economy, and society at large. This viewpoint is deeply aligned with WovenLight and our mission.
Currently, Mark is Co-Founder & Managing Partner of Intrepid Growth Partners, an investment firm he helped found in 2023, which focuses on supporting the AI revolution by partnering with AI leaders at the growth stage. By providing growth capital and strategic resources, Intrepid helps these emerging global AI champions realize their potential.
Alongside his role at Intrepid, Mark currently serves on GIC’s International Advisory Board and is an independent non-executive director of CVC Capital. He is also an advisor and mentor to several technology and early-stage companies in North America and Europe.
Before founding Intrepid Growth Partners, Mark co-founded and was the founding CEO of Opto Investments, a software platform that raised a $145 million Series A and uses software to create a new market for investment advisors to access alternative investments.
From 2012 to 2021, Mark worked at CPPIB, where, as President and CEO, he chaired its investment committees and oversaw more than $500 billion of investment in many companies and investment funds. In addition, Mark led the creation of several internal initiatives that leveraged ML/AI to enhance coordination among CPPIB’s employees across nine global offices and support its investment process. Under Mark’s leadership, CPPIB was one of the best-performing global asset owners.
Mark began his career at Goldman Sachs, holding a number of leadership positions across Europe and Asia.
Mark trained in Physiological Sciences, including specialisation in neurosciences at Oxford, researched developmental biology, and studied Clinical Medicine at Cambridge before pursuing his career in finance.
Mark acts as a Senior Adviser to WovenLight, supporting key strategic and commercial activities. Mark’s career in finance spans three decades, allowing WovenLight to benefit from his significant experience and expertise across investing, technology, and leadership.
Mark views AI as critical to the future of both investing, the economy, and society at large. This viewpoint is deeply aligned with WovenLight and our mission.
Currently, Mark is Co-Founder & Managing Partner of Intrepid Growth Partners, an investment firm he helped found in 2023, which focuses on supporting the AI revolution by partnering with AI leaders at the growth stage. By providing growth capital and strategic resources, Intrepid helps these emerging global AI champions realize their potential.
Alongside his role at Intrepid, Mark currently serves on GIC’s International Advisory Board and is an independent non-executive director of CVC Capital. He is also an advisor and mentor to several technology and early-stage companies in North America and Europe.
Before founding Intrepid Growth Partners, Mark co-founded and was the founding CEO of Opto Investments, a software platform that raised a $145 million Series A and uses software to create a new market for investment advisors to access alternative investments.
From 2012 to 2021, Mark worked at CPPIB, where, as President and CEO, he chaired its investment committees and oversaw more than $500 billion of investment in many companies and investment funds. In addition, Mark led the creation of several internal initiatives that leveraged ML/AI to enhance coordination among CPPIB’s employees across nine global offices and support its investment process. Under Mark’s leadership, CPPIB was one of the best-performing global asset owners.
Mark began his career at Goldman Sachs, holding a number of leadership positions across Europe and Asia.
Mark trained in Physiological Sciences, including specialisation in neurosciences at Oxford, researched developmental biology, and studied Clinical Medicine at Cambridge before pursuing his career in finance.
Michelle is a leader in applied artificial intelligence with over 10 years of experience. Prior to WovenLight, Michelle was a Senior Manager and the AI Guild Lead at Deloitte, where she specialised in the design and development of AI systems, including chatbots, Trustworthy AI tools, and LLM use cases.
Michelle completed her PhD in Computer Science & Technology at the University of Cambridge, MSc in Social Data Science at the Oxford Internet Institute, and her undergraduate Research Honors degree at Stanford University. She is currently a part-time researcher for Cambridge Computer Lab and serves as a guest lecturer at Imperial College in Financial Economics and Business Analytics. In her free time, Michelle volunteers as a pro bono data scientist with DataKind, formerly as the UK Chapter Lead and now on the Ethics Committee.
Soon, all companies will (claim to) use AI. Navigating this emerging landscape will require a trusted partner with deep expertise in data and AI: to separate hype from real value and to operationalise vision into practice.
Michelle is a leader in applied artificial intelligence with over 10 years of experience. Prior to WovenLight, Michelle was a Senior Manager and the AI Guild Lead at Deloitte, where she specialised in the design and development of AI systems, including chatbots, Trustworthy AI tools, and LLM use cases.
Michelle completed her PhD in Computer Science & Technology at the University of Cambridge, MSc in Social Data Science at the Oxford Internet Institute, and her undergraduate Research Honors degree at Stanford University. She is currently a part-time researcher for Cambridge Computer Lab and serves as a guest lecturer at Imperial College in Financial Economics and Business Analytics. In her free time, Michelle volunteers as a pro bono data scientist with DataKind, formerly as the UK Chapter Lead and now on the Ethics Committee.
Nicola is WovenLight's Executive Assistant and Office Manager. As Office Manager she works across a broad range of operational areas including HR, finance and legal.
Prior to joining, Nicola was the Office Manager at QuantumBlack and Practice Manager for a leading cosmetic surgeon. Her background includes two decades in various business support roles in the legal sector.
Nicola is a driven, highly organised manager.
I’m driven by passion in both my professional and private life. That’s what drew me to WovenLight. My colleagues are passionate about what they do and strive to make other people’s lives more efficient and effective. Everything we do is done with a greater intent. I’ve been fortunate to work with a range of driven, entrepreneurial leaders, which has helped me learn how to ‘make the impossible, possible’. Something which I bring to my work every day.
Nicola is WovenLight's Executive Assistant and Office Manager. As Office Manager she works across a broad range of operational areas including HR, finance and legal.
Prior to joining, Nicola was the Office Manager at QuantumBlack and Practice Manager for a leading cosmetic surgeon. Her background includes two decades in various business support roles in the legal sector.
Nicola is a driven, highly organised manager.
Rob works as a Data Engineer at WovenLight. In his role, he is focused on the development and deployment of machine learning pipelines which drive value creation at WovenLight portfolio companies. He is enthralled by the opportunities enabled by data and analytics to improve any business or process.
Prior to WovenLight, Rob worked as a Data Engineer at both Oodle and Nationwide where he was instrumental in designing and building scalable data pipelines using cloud technologies.
Rob holds an MSci in Physics with Theoretical Physics from Imperial College London, where his Masters project focused on simulations of the heart and how surgery could cure atrial fibrillation.
I enjoy being able to identify a problem, design and implement a solution and then measure the positive impact that has occurred.
At WovenLight I have the opportunity to do this at a variety of companies for an assortment of different problems where solving them can have a massive real world impact.
Rob works as a Data Engineer at WovenLight. In his role, he is focused on the development and deployment of machine learning pipelines which drive value creation at WovenLight portfolio companies. He is enthralled by the opportunities enabled by data and analytics to improve any business or process.
Prior to WovenLight, Rob worked as a Data Engineer at both Oodle and Nationwide where he was instrumental in designing and building scalable data pipelines using cloud technologies.
Rob holds an MSci in Physics with Theoretical Physics from Imperial College London, where his Masters project focused on simulations of the heart and how surgery could cure atrial fibrillation.
Simon is focussed on weaving the skills and methods of data science with the private equity investment lifecycle to deliver a consistent and differentiated approach.
Simon’s career in applied data started more than 25 years ago. He was a Co-Founder and Chief Executive of QuantumBlack, an analytics firm with its roots in Formula 1. QuantumBlack was acquired by McKinsey & Co, and now has a global presence helping leading organisations improve operational performance through advanced analytics. Simon started his career at Reuters in product management and then moved to ABN AMRO in Amsterdam. In due course he progressed to building technology companies. WovenLight is the fourth firm Simon has helped set up. Two others sold. One failed.
Simon lives in Twickenham, south-west London with his wife, two children and faithful hound.
As a fan of fine cartography, I realised that maps are layers of data that can be turned on and off to answer different questions; as this data continuously morphs and evolves the most valuable element is not the insight it offers, but the feedback mechanism it gives us. It allows you to learn faster.
To me, this observation is critical to reskilling humans and redesigning processes to tackle our future challenges and protect livelihoods.
Simon is focussed on weaving the skills and methods of data science with the private equity investment lifecycle to deliver a consistent and differentiated approach.
Simon’s career in applied data started more than 25 years ago. He was a Co-Founder and Chief Executive of QuantumBlack, an analytics firm with its roots in Formula 1. QuantumBlack was acquired by McKinsey & Co, and now has a global presence helping leading organisations improve operational performance through advanced analytics. Simon started his career at Reuters in product management and then moved to ABN AMRO in Amsterdam. In due course he progressed to building technology companies. WovenLight is the fourth firm Simon has helped set up. Two others sold. One failed.
Simon lives in Twickenham, south-west London with his wife, two children and faithful hound.
At WovenLight, Vlad is a Senior Machine Learning Engineer. His focus is on creating robust and scalable assets for managing the machine learning lifecycle and facilitating advanced analytics solutions.
Before joining WovenLight, Vlad was a Data Scientist at Capgemini Invent, where he focused on the creation of MLOps solutions and the implementation and deployment of machine learning products, for the public sector.
Previously, Vlad worked as a Data Scientist in a consumer financing company where he concentrated on the development and release of machine learning models to inform lead acquisition, loan underwriting and business modelling.
Vlad holds an MSc in Mathematics, Business and Finance from the University of Exeter.
I believe that whilst data science solutions are becoming more prominent in companies, only a minority manage to deliver the infrastructure necessary for sustainable value creation.
WovenLight is applying advanced analytics and machine learning techniques to solve business problems with a scalability mindset. This makes me excited about the prospects of generating long-term opportunities for our portfolio companies.
At WovenLight, Vlad is a Senior Machine Learning Engineer. His focus is on creating robust and scalable assets for managing the machine learning lifecycle and facilitating advanced analytics solutions.
Before joining WovenLight, Vlad was a Data Scientist at Capgemini Invent, where he focused on the creation of MLOps solutions and the implementation and deployment of machine learning products, for the public sector.
Previously, Vlad worked as a Data Scientist in a consumer financing company where he concentrated on the development and release of machine learning models to inform lead acquisition, loan underwriting and business modelling.
Vlad holds an MSc in Mathematics, Business and Finance from the University of Exeter.
Ziedo works as a Senior Data Scientist at WovenLight. With experience across consulting, start-ups, and big tech, combined with a background in mathematics and scientific research, he is passionate about applying a rigorous approach to data science and analytics in order to drive real value creation.
Previously, Ziedo worked as a Senior Data Scientist at TikTok, building internal machine learning and analytics solutions to support the TikTok e-commerce platform. His work included developing and deploying machine learning models to identify high-potential leads, a new approach to creator-follower demographics clustering specific to the UK market, and numerous business-wide product analytics tools to enable strategic decision making. Prior to this he worked as a Data Scientist at Series A (later Series B) start-up Unmind, working across the full data science spectrum from problem scoping, A/B testing, analytics, ML, and deployment. Before that, he worked as a consultant at Newton Europe, working with a wide range of both private and public sector organisations.
Ziedo holds a PhD in Analytical Science (Physics and Biomedical Engineering), an MSc in Analytical Science, and a BSc in Mathematics, all from the University of Warwick.
My favourite thing about data science is that it touches every single part of a business - whether measuring the effectiveness of a marketing strategy, learning the most impactful levers for customer retention, identifying high-potential sales leads, and even understanding your competition. With the AI boom that we’re all currently experiencing, it has become more important than ever to ensure that data science work is built on solid foundations and with scalable infrastructure. I’m excited by the years ahead, and by what data science and AI can do for businesses across the world.
Ziedo works as a Senior Data Scientist at WovenLight. With experience across consulting, start-ups, and big tech, combined with a background in mathematics and scientific research, he is passionate about applying a rigorous approach to data science and analytics in order to drive real value creation.
Previously, Ziedo worked as a Senior Data Scientist at TikTok, building internal machine learning and analytics solutions to support the TikTok e-commerce platform. His work included developing and deploying machine learning models to identify high-potential leads, a new approach to creator-follower demographics clustering specific to the UK market, and numerous business-wide product analytics tools to enable strategic decision making. Prior to this he worked as a Data Scientist at Series A (later Series B) start-up Unmind, working across the full data science spectrum from problem scoping, A/B testing, analytics, ML, and deployment. Before that, he worked as a consultant at Newton Europe, working with a wide range of both private and public sector organisations.
Ziedo holds a PhD in Analytical Science (Physics and Biomedical Engineering), an MSc in Analytical Science, and a BSc in Mathematics, all from the University of Warwick.
Work at WovenLight!
WovenLight believes in diversity of perspective, blending world class data and engineering professionals. If building the next generation value creation firm excites you, we would love to hear from you.
Office Manager
Office Manager
As Office Manager, you would be responsible for ensuring the smooth operation of our London office.
Don't see your ideal role?
Don't see your ideal role?
If none of our currently available positions are suitable but you see yourself being a valuable team member, please reach out to us for a general introduction.