London Data Summit 2023

Gerben de Zwart is head of Investment Solutions at APG Asset Management since 2020. In this current role, he leads the investment specialists team. In addition, his Quant Solution & Developer teams play a key role in APG's digital transformation by operationalizing (advanced) analytical information platforms to the global Investment teams and the Responsible Investment team. He is also the chief editor of the Dutch CFA-VBA Journal and a member of the advisory council of the Accountancy department of Tilburg University.Prior to joining APG in 2010, Gerben was employed by ING Investment Management and Robeco. He earned his Master’s degree in Technical Mathematics from Delft Technical University and his Ph.D. from the Erasmus University Rotterdam. Gerben holds the Chartered Financial Analyst designation. He has been published in the academic finance literature and is a frequent speaker at international conferences for both academics as well as practitioners.In 2015 Gerben was awarded with a royal honour and appointed as a member of the Order of Oranje-Nassau.

Ian heads the Client Engagement group at Neudata, as well as its busy programme of events. He has spent the last six years helping asset managers, investment banks and retailers to get value out of traditional and alternative data. Prior to that, Ian's experience encompassed analytical and commercial roles at Vodafone, Bank of Scotland and Liberty Mutual.Ian holds an MA in Mathematics from the University of Oxford, and a Saltire Fellowship in Entrepreneurship from Babson College, Massachusetts.

Lisa K. Simon is a Senior Economist at Revelio Labs, where she leads the Economics Team and the Client Success Team. She analyzes Revelio Labs’s treasure trove of labor market data, uncovers insights about workforce trends, and helps clients leverage workforce data to their advantage. Previously, she was a researcher at the Stanford Graduate School of Business, where she was applying causal inference methods using machine learning to questions in labor and education economics. Her research has focused on the impact of structural change on labor markets, the future of work in general, and how individuals can adapt to changing labor markets. She holds a PhD in Economics from the University of Munich in Germany and worked at the ifo Institute - Germany’s top economic policy and research institute - as well as the OECD and the European Parliament.

Matei founded System2 as a full-service data team to expand the universe of data-driven investing and decision-making.Clients, which include hedge funds, private equity and corporates, leverage System2's team and technology to build forecasts and machine learning models, source and diligence deals, deliver customer insights and otherwisesolve hard problems with data.Matei also hosts Augvest, a community of investors who meet regularly to discuss trends in data-driven investing. He previously spent eight years at King Street Capital, where he started the data science initiative.Matei holds an MA in math from Columbia University and BAs in psychology, math, government, and economics from Cornell University.

Omer leads the Consulting arm at Neudata, informing and assisting data-owning firms to enter and better compete in the alternative-data market.Omer had spent the last 8 years spearheading strategic client engagements across a variety of industries, as Head of Business Development and Sales Executive, most recently selling data-products to a variety of EMEA buy-side institutions. Prior to that, Omer was involved in data-partnerships for the largest provider of data-driven public market research, helping firms monetize their data assets and create new revenue streams.Native Israeli, Omer is fluent in Hebrew, French, and English. He holds a B.A in History and Political Science from Tel-Aviv University and SciencesPo Paris, and M.A in Management from the London School of Economics.

Tech-savvy and data-driven leader Omri Orgad is Bright Data’s Chief Customer Officer and former North America Managing Director.During nearly a decade in the data space, Omri has worked with the largest enterprises and leading companies in the world, witnessing and helping them navigate the most complex market transitions and shifts with the support of web data. In his role today, Omri leads the extensive customer success department, working closely with thousands of leading firms and organizations across key sectors, such as e-commerce, banking, travel, healthcare and more.In his most recent role at Bright Data, Omri established the new North America-based company headquarters from January 2020 until September 2022, a period that has been characterized by market instability. During this period, Omri led the company’s growing market share as the leading web data provider while also establishing the right data teams to support it across the US.With his vast data-driven experience, Omri has acquired a deep familiarity with multiple global firms’ brands, their market challenges and business goals, and has helped them achieve their market goals by addressing the most essential questions in a very timely manner. Prior to his career at Bright Data, Omri worked closely with several startups and smaller-scale companies, focusing on accelerating growth. Omri’s career path in the data domain has been driven by his firm belief that data can only lead to success in this ever-evolving and ever-surprising real-time economy.

Sam Livingstone is the Head of Data Science & Data Engineering at Jupiter Asset Management. Previously, he was a data scientist in Global Equities at Citadel. Prior to that, he worked as a quant researcher sitting on the quantitative equity products investment desk at Schroders, as a quant analyst at Willis Towers Watson after beginning his career as a sales trader at IG Group in 2010.Sam holds a first-class honours degree in Economics & Business (UWE) and a Master of Science degree in Economics, Accounting & Finance from the University of Bristol. Sam is also a Chartered Financial Analyst. Sam is currently studying for a PhD in sustainable machine learning (Faculty of Engineering, Department of Computer Science) at University College London.