Ruimeng Hu
Department of Mathematics
Department of Statistics and Applied Probability
University of California, Santa Barbara
Email: rhu[at]ucsb[dot]edu
About me
I am an Associate Professor at the University of California, Santa Barbara, with a joint appointment in Mathematics and Statistics and Applied Probability. Before that, I worked at Columbia University as a Term Assistant Professor. My current research interests lie in the interdisciplinary area of machine learning, financial mathematics, and game theory.
Editorial services:
Editorial board of Digital Finance
Co-guest-editor of the special issue Deep Learning in Finance at Digital Finance (with Weinan E and Shige Peng)
Co-guest-editor of the special issue Machine Learning in Finance at Mathematical Finance (with Christa Cuchiero, Sara Svaluto-Ferro and Renyuan Xu)
Events I organize/attend:
SIAG/FME Code Quest 2023 - DeFi & RoboAdvising Challenge, Deadline Jan. 31, 2024.
PDE/Applied Mathematics/Data Science Seminar, Fri. 1-3 PM Pacific Time.
World Online Seminars on Machine Learning in Finance, Tue. 10 AM Pacific Time, monthly starting on Mar. 30th, 2021.
Modeling, Learning and Understanding: Modern Challenges between Financial Mathematics, Financial Technology and Financial Economics, Banff International Research Station (BIRS), Alberta, Canada, Nov. 10-15, 2024.
3rd ACM International Conference on AI in Finance (ICAIF-22), Nov. 2-4, 2022. (Workshop Cochairs)
2022 Center of Financial Mathematics & Actuarial Research Workshop, Sept. 29-30, 2022.
Financial Mathematics Mentoring Initiative, First deadline Feb. 15, 2022.
Center for Financial Mathematica & Actuarial Research, Mon. 3:30 PM Pacific Time.
10th Western Conference on Mathematical Finance, Jan. 15-18, 2021.
Education:
Ph.D. in Statistics and Applied Probability, University of California, Santa Barbara, 2018.
M.A. in Mathematical Statistics, University of California, Santa Barbara, 2014.
B.S. in Pure and Applied Mathematics, Peking University, 2012.
Full CV (updated Sept 2023)