Organizers
Organizing Committee
Vice President and Research Lead, JP Morgan AI Research and Adjunct Professor, NYU
Naftali is a Vice President and Research Lead at JP Morgan, AI Research, and an Adjunct Professor at New York University, Tandon School of Engineering. Before joining JP Morgan, Naftali worked as an academic researcher at Yale University and Columbia University, focusing on climate modeling and extreme-weather forecasting. He holds a Ph.D. in Applied Mathematics from the Courant Institute of Mathematical Sciences at New York University.
Associate Professor at University of Southern California
Yan is an Associate Professor in the Computer Science Department, of the Viterbi School of Engineering at USC. Dr. Liu joined USC in August 2010. Before that, she was a research staff member in the Data Analytics Group at the IBM T.J. Watson Research Center since November 2006. She received M.S. and Ph.D. from Carnegie Mellon University. Her research interests include machine learning and data mining with applications to biology, climate science, health, and social media.
Research Scientist, JP Morgan AI Research
Zhen is an AI Research Scientist at JP Morgan, AI Research. Her research interests are novel representations of financial data, uncertainty estimation, computer vision, and robotics. Before joining JP Morgan, Zhen worked on creating automated agents to perceive, understand and make decisions in the physical world through probabilistic modeling and machine learning. She received a Ph.D. in Electrical and Computer Engineering from the University of Michigan.
Data Sciene Manager
Rami is a data scientist at a leading Tech company, where he focuses on time series analysis and forecasting. He develops open-source tools and is the author of several R packages, including the TSstudio package for time series analysis and forecasting applications. Rami holds an MA in Applied Economics and an MS in actuarial mathematics from the University of Michigan-Ann Arbor.
Research Scientist, JP Morgan AI Research
Srijan is a Research Scientist at JP Morgan, AI Research. His research interests are reinforcement learning, fair machine learning and applications of AI to financial services. Before joining JP Morgan, Srijan worked on building agents capable of storytelling, as well as on training trading policies using reinforcement learning. He received a M.Sc. in Computer Science from Georgia Institute of Technology.
Program Committee
Research Scientist, California Institute of Technology
Yair is a Senior Research Scientist in the Climate Modeling Alliance (CliMA) at the California Institute of technology. His research interests are the development of simplified, physically motivated, models for complex phenomena (such as atmospheric clouds) and the integration of various Bayesian approaches of machine learning to learn parametric functions that optimize these models. He received his Ph.D. at the Hebrew University of Jerusalem.
Ph.D. Student, University of Southern California
Defu Cao is a Ph.D. student in Computer Science at the University of Southern California, working with Prof. Yan Liu. Cao is primarily interested in developing machine learning and data mining algorithms that demonstrate a deep understanding of the world with special structures, including time series, spatio-temporal data, and relational data. To this end, his research aims to integrate causal inference, spectral domain representation, interpretability, and robustness. Prior, he earned his M.Sc. at the school of EECS Peking University.