Raphael Douady is a French mathematician and economist. He holds the Frey Family Endowed Chair of Quantitative Finance at Stony Brook University (SUNY), and is also the International Representative (and former Academic Director) of the Laboratory of Excellence on Financial Regulation (Labex ReFi, a joint initiative of Paris 1-Sorbonne University, ESCP-Europe, CNAM and ENA) and is affiliated with the French National Centre for Scientific Research (CNRS). He co-founded fin-tech firms Riskdata (1999) and Datacore (2015). He has more than twenty years of experience in the banking industry and thirty-five years of research in pure and applied mathematics. His current research focus is systemic risk and the anticipation of financial market crises. His background in pure mathematics is in dynamical systems, chaos theory and symplectic geometry. He studied at Ecole Normale Supérieure in Paris and earned his PhD in mathematics in 1982 from the University of Paris 7.
Hugo Liu is Chief Scientist at Artsy, the leading online marketplace for contemporary art. He joined Artsy through its acquisition of ArtAdvisor, a data science startup Hugo cofounded, which developed a breakthrough technology for valuing contemporary art and forecasting the art market based on cultural machine learning. Previously, he was Chief Scientist of taste prediction startup, Hunch, and Principal Scientist of algorithmic merchandising at Ebay. His academic research includes computational sociology, sentiment analysis, and commonsense reasoning. Hugo received a BS in Electrical Engineering, a M.Eng in Artificial Intelligence, and a Ph.D. in Media Arts and Science from the MIT Media Lab.
Rob Reitzen is the Founder of Random Order Inc., an innovative software design and development company that specializes in highly scalable Machine Learning methodologies and is based in Los Angeles, CA. Rob studied probability and game theory at UCLA, ultimately pursuing a career as a professional blackjack player in the 1980s. He began to leverage his knowledge in artificial intelligence (AI) and machine learning to develop new innovative data-driven blackjack techniques to exploit inefficiencies, achieving “Alpha” through the prediction of “nonrandom shuffles”. In the early 1990s, Rob co-founded Core Partners and Core Capital Management, a “think tank”, where he further developed his AI and machine learning technologies and equipped Core’s players with his advanced strategies, going on to win millions. Rob holds multiple patents for his poker strategies and gaming systems; in 2004, he licensed his poker technology to Momentum Investment Services, which went on to win over $34 million from 2004 to 2006.
Nate Sauder is a co-founder of Syntropy Farms which uses AI and proprietary neural network augmented devices to improve the efficiency of indoor farms. He was the Chief Scientist at Enlitic, a medical deep learning company which utilized unique algorithms to bring together medical images, text and other data sources to assist radiologists in making diagnoses. Nate previously studied Mathematics, Computer Science and Physics at the University of Chicago, the University of Oxford, the University of British Columbia and the University of Toronto.
Zubin Siganporia founded QED Analytics, a consultancy specializing in mathematical modelling and data science. His work has spanned a wide variety of industries, including cryptography, financial algorithms, genetics, and the design of strategy and training systems for world-leading sports teams and Olympic squads. Zubin’s work in finance has involved acting as an expert witness in a high-profile legal case between hedge funds, leading the risk analysis for major banking deals, and investigating computer-based trading for HM Treasury and the Government Office for Science. Alongside his work at QED, Zubin is a Fellow in industrial and applied mathematics at Oxford University, and a lecturer and tutor in pure mathematics. He is the only Oxford mathematician to have won the overall teaching prize across all areas of Mathematical, Physical, Life and Engineering Sciences.
Bernd Wuebben was a portfolio manager and investment strategist at Jump Trading, a quantitative investment firm with offices in New York, Chicago, London and Singapore. He is a unique and hard to find blend of client facing fundamental macro and relative value market strategist who understands the markets and the economy, hands on flow and proprietary trader, and state of the art quantitative portfolio manager who uses machine learning techniques extensively for alpha generation and monetization. Cutting edge advances such as Deep Learning and Deep Reinforcement Learning are key aspects of his skill portfolio. Bernd has nearly 20 years’ experience in global financial markets. Prior to joining the buy side, Bernd was Managing Director and Chief Fixed Income Trading Strategist at Bear Stearns in New York. Bernd was also co-head of interest rate strategy at BNP-Paribas in New York with a focus on relative value strategy from 2005 to 2006 and Chief US Treasuries Strategist and a proprietary trader at Morgan Stanley from 2001 to 2005. From 1998 to 2001 he was Deutsche Bank’s Fixed Income Derivatives Strategist in New York. He joined Deutsche Bank out of the PhD program in Mathematics at Cornell University where his thesis focused on mathematical aspects of Superstring Theory and holds a BS in Mathematics and Physics from Heidelberg University an MS in Mathematics and MS in Computer Science from Cornell University.