Scholar
Elynn Chen
Google Scholar ID: h5jI05UAAAAJ
New York University, Stern School of Business
Citations & Impact
Citations
668
H-index
12
i10-index
12
Publications
20
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Data-Driven Knowledge Transfer in Batch Q* Learning (2024, submitted)
- - STEFA: Semi-parametric tensor factor analysis by iteratively projected singular value decomposition (2024, Journal of the Royal Statistical Society: Series B)
- - Reinforcement Learning in Latent Heterogeneous Environments (2024, Journal of the American Statistical Association)
- - Tensor-view Topological Graph Neural Network (2024, AISTATS)
Research Experience
- - Assistant Professor, TOPS, NYU Stern, 09/2021 - present
- - Postdoc Fellow, EECS, UC Berkeley, 09/2019 - 08/2021, Advisor: Prof. Michael I. Jordan
- - Postdoc Fellow, ORFE, Princeton University, 06/2018 - 08/2019, Advisor: Prof. Jianqing Fan
- - Scholar, Robotics, OpenAI, 02/2019 - 05/2019
Education
- - Ph.D. in Statistics, Rutgers University, 2018, Advisor: Prof. Rong Chen
- - B.Sc. in Computer Science and Economics, Tsinghua University, Peking University
Background
- - Research Interests: Developing novel methodologies for data-driven decision-making and complex data analysis, with applications in business, economics, and healthcare.
- - Professional Field: Technology, Operations, and Statistics (TOPS)
- - Biography: Assistant Professor at NYU Stern School of Business. Her work has been applied to international trade, corporate finance, clinical dynamic treatments, and recognized by the NSF Postdoc Award DMS-1803241.
Miscellany
- - Research Interests: Tensor learning, reinforcement learning, transfer learning, data fusion and diversity
