Jackie Shen earned his Ph.D. degree in Applied Mathematics from MIT in 1998, and B.S. degree in Mathematics from USTC China in 1994. He was an Assistant Professor in Applied Mathematics at UCLA from 1998 to 2000 and at UMN from 2000 to 2007. During 2013-2014, He was an Assistant Professor for the MSFE Program at UIUC, a joint venture by the Business School and Engineering College.
Research Areas: Quant Finance, Machine Learning, and the fascinating sciences of Imaging, Vision, and Intelligence ( Visit Our Book in 2005 by SIAM). Also Ref. Google Scholar
Quant Finance: (Since 2007) Delivering Quant/Tech/ML solutions to trading, risk, and investments, mainly for Equities/Crypto Algorithmic E-Trading, Portfolio Construction, Derivatives Valuation/Risks, Economic and Regulatory Capital Frameworks, as well as Enterprise Risk Management on Market Risk, Credit Risk, Model Risk and GenAI Risk.
NEW in 2025 (Sept 6): Pease read our new paper: "GenAI on Wall Street -- Opportunities and Risk Controls," via arXiv or SSRN, also available under the tab "Quant Finance."
Brief Academic CV (Click Anywhere to Expand)(For an industrial resume, please consult the LinkedIn page)
(1994-1998) MIT, Ph.D. in Applied Mathematics, on Wavelets and Signal Analysis with dear Gil
(1998-2000) UCLA, CAM Assistant Professor in Computational and Applied Mathematics
(Spring, 2000) Brown University, Visiting Scientist, Division of Applied Math. (Host: David Mumford)
(2000-2007) Univ. of Minnesota, Assistant Professor in Applied, Computational, and Industrial Math.
(Fall, 2006) TTI, Univ. of Chicago, Visiting Professor, Computer Science Institute (Host: Steve Smale)
(2013-2014) Univ. of Illinois, Assistant Professor in ISE for Master Program in Financial Engineering
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