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Alexander Fleiss Rebellion Research CEO & Rebellion TV Host

Alexander Fleiss Rebellion Research CEO & Rebellion TV Host

Alexander Fleiss Rebellion Research : Alexander Fleiss has spoken about Artificial Intelligence Investing in the Wall Street Journal, New York Times, Fox News, BusinessWeek, Bloomberg News, MIT Technology Review, Yomiuri Shimbun, Wired, CNBC, Geo Magazine, The Economist and Institutional Investor. Chapter 24 of Wall Street Journal Reporter Scott Patterson’s book Dark Pools is on Mr. Fleiss. 


Mr. Fleiss oversees research projects at Cornell Financial Engineering, Berkeley Haas, Rutgers MSQF, Columbia MOF & Fordham Gabelli School of Business and has guest taught at Amherst College for over a decade and Yale School of Management & Yale Law for 4 years. Prior to co-founding RebellionResearch.com, Mr. Fleiss was a Principal at KMF Partners LP, a long-short US equity hedge fund co-managed by John Merriwether of Michael Lewis’ Liars Poker. Mr. Fleiss began his career programming video games & managed an Amherst College-funded Ai research project, then as an analyst & programmer for Sloate, Weisman, Murray & Co which was acquired by Neuberger Berman. Mr. Fleiss developed investment algorithms with the firm’s CEO, Laura Sloate who is now a partner at Neuberger Berman and one of the investors featured in Peter Tanous’ book Investment Gurus & Shake Shack’s seed investor. Mr. Fleiss received a BA Degree from Amherst College. 

Rebellion TV

Join Alexander Fleiss, founder of Rebellion Research, as he interviews entrepreneurs, experts, astronauts, and scientists to pull back the curtain on everything from Nuclear Submarines to the Hubble Space Telescope.

Alexander Fleiss – CEO – Rebellion Research | LinkedIn

Leading Artificial Intelligence and Financial Advisor – Rebellion Research

Rebellion Research is a global machine learning think tank, artificial intelligence financial advisor & hedge fund. Brokerage accounts can be opened in over 70 countries and our research coverage spans over 50 countries. We use a proprietary Machine Learning to make global economic assessments with a 14 year history of outperforming the S&P 500.

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