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Joel is Founding Partner and Chief Risk Officer of Trinnacle Capital Management LLC, a New York based hedge fund manager. Trinnacle's strategy focuses on the use of machine learning and heavily utilizes alternative data sets. Joel graduated MSc ETH Physics focusing his research on predicting volatility in a high frequency trading environment using the Hawkes Poisson Model. Joel previously worked as an analyst for VKC, the Chinese technology focused PE fund founded by David Wei, the former CEO of Alibaba. He was board member of FDP Zollikon (part of a leading Swiss political party), and is a founding board member of Ricci Fellows (the leading Sino-Swiss young professional network)

Gaurav Chakravorty is the co-founder and Chief Investment Officer at qplum, an asset management firm that offers A.I.-based trading strategies. Gaurav was an early pioneer in machine learning based high-frequency trading, building one of the most profitable algorithmic trading groups at Tower Research from 2005-2010. Gaurav firmly believes that investing can be approached as a science utilizing the power of Artificial Intelligence and Deep Learning.

Michael is a Portfolio Manager and Partner at MOV37. He has over two decades of experience investing directly at the security level and indirectly as an asset allocator in alternative assets. His portfolio management experience includes Soros Fund Management LLC, Credit Suisse First Boston, and Financial Risk Management (FRM), where he was also the Global Head of Equities. Michael received an M.B.A. from Columbia Business School, where he is now also an Adjunct Associate Professor of Finance and Economics, and a B.S. in Economics from New York University.

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.