Winter Research Conference on Machine Learning and Business
Machine learning and related technological innovations have transformed all fields of business. This paradigm shift has led to innovations both in pure and applied research in providing new solutions to long-standing challenges. The inaugural Miami Herbert Business School Winter Research Conference on Machine Learning and Business, co-hosted by the Finance and Management Science departments, aims to bring together researchers on applications of machine learning and textual analysis across business disciplines over a two-day teleconference.
Deadline for paper/abstract submission: 11/30/2020
Acceptance notifications: 12/31/2020
Registration deadline: 2/1/2021
Registration is free.
KEYNOTE SPEAKERS
Yingying Fan
Professor
University of Southern California
Yingying Fan is a Professor and Dean's Associate Professor in Business Administration in Data Sciences and Operations Department of the Marshall School of Business at the University of Southern California, Professor in Departments of Economics and Computer Science at USC, and an Associate Fellow of USC Dornsife Institute for New Economic Thinking (INET). She received her Ph.D. in Operations Research and Financial Engineering from Princeton University in 2007. She was a Lecturer in the Department of Statistics at Harvard University from 2007-2008. Her research interests include statistics, data science, machine learning, economics, big data and business applications, and artificial intelligence and blockchain.
Her papers have been published in journals in statistics, economics, computer science, and information theory. She is the recipient of Fellow of Institute of Mathematical Statistics (2020), Fellow of American Statistical Association (2019), NIH R01 Grant (2018), the Royal Statistical Society Guy Medal in Bronze (2017), USC Marshall Dean's Award for Research Excellence (2017), the USC Marshall Inaugural Dr. Douglas Basil Award for Junior Business Faculty (2014), the American Statistical Association Noether Young Scholar Award (2013), NSF Faculty Early Career Development (CAREER) Award (2012), Zumberge Individual Award from USC's James H. Zumberge Faculty Research and Innovation Fund (2010), and USC Marshall Dean's Award for Research Excellence (2010), as well as a Plenary Speaker at the 2011 Institute of Mathematical Statistics Workshop on Finance, Probability, and Statistics held at Columbia University. She has served as an associate editor of Journal of the American Statistical Association (2014-present), Journal of Econometrics (2015-2018), Journal of Business & Economic Statistics (2018-present), The Econometrics Journal (2012-present), and Journal of Multivariate Analysis (2013-2016).
Alexander Fleiss
CEO, RebellionResearch.com
RebellionResearch.com's CEO 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, 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 teaches at Cornell Financial Engineering & Fordham Gabelli School of Business and has guest taught at Amherst College for over a decade and Yale School of Management for 5 years & Rutgers Engineering for 4.
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 as a 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. Then Mr. Fleiss managed an Amherst College-funded Ai research project with Amherst College's Math Department Chair. Mr. Fleiss was a developer on the computer game Flight of the Intruder. Mr. Fleiss received a BA Degree from Amherst College & advanced to the 2nd round of the 2001 US National Math Championships.
Alexander Fleiss will host a panel discussion with Peng Cheng, Douglas Hamilton, and Sameer Gupta on the future of AI and data in the financial markets
Douglas Hamilton
Managing Director
NASDAQ Machine Intelligence Lab
Doug is Managing Director of NASDAQ’s Machine Intelligence Lab, a group dedicated to clarifying financial markets with machine learning. As Managing Director Doug’s responsibilities include setting the company’s research agenda, providing technology oriented due diligence for M&A activity, and bringing AI solutions to market. He holds a Masters of Science in Systems Engineering from The Massachusetts Institute of Technology and a Bachelors in Mathematics from The University of Illinois.
Peng Cheng
JPMorgan Global Research
As a member of JPMorgan Global Research, Peng Cheng leads the Big Data and AI Strategies research effort based in New York, and is responsible for developing cross asset investment strategies leveraging alternative data and advanced statistical techniques. Previously, he covered Equity Derivatives Strategies in London. Prior to joining the bank in 2010, he was a Convertible and Volatility strategist at Lehman Brothers/Barclays in New York. He holds a Master's degree from the University of California, Berkeley and is a CFA charterholder.
Sameer Gupta (confirmation pending)
Sameer was most recently the Head of Data for the Fusion business at Point72 where his group was responsible for the identification, acquisition, onboarding, and distribution of data for use in the investment process. Previously, he managed the Data Sourcing team for the Proprietary Research business at Point72.
Prior to joining Point72, Sameer was the COO at iSentium, an artificial intelligence startup where he led key business functions including sales, business development, fundraising, engineering, and operations. Before iSentium, Sameer was the COO for the Global Electronic Trading and Americas Cash Equities business at JPMorgan. He also served in business development and product management roles at NYSE Technologies, and in software development and technology strategy positions at Goldman Sachs. Sameer is also actively involved in the New York City start-up community through TechStars and New York University’s Endless Frontier Labs.
Sameer earned his M.B.A. from Harvard Business School, M.S. in Information Systems Management from Carnegie Mellon, and B.S. in Computer Science from the National Institute of Technology in India.
Conference Committee
Lan Wang
Partnership with:
