Shanyin Tong
Assistant Professor in Applied Mathematics
Shanyin Tong received her BSc in computational mathematics at Peking University (2017).
She received her PhD in mathematics under the supervision of Georg Stadler and Eric Vanden-Eijnden at New York University’s Courant Institute of Mathematical Sciences (2022). She is now an Assistant Professor in Applied Mathematics in the Department of Applied Physics and Applied Mathematics at Columbia University.
Shanyin Tong's research focus is on applied and computational mathematics, in particular on uncertainty quantification, PDE-constrained optimization, optimization under uncertainty, rare events, and inverse problems. The main applications driving her research are the hazard assessment of extreme tsunami waves, optimal portfolio allocations, and seismic inversion. Currently, She is also interested in using machine learning methods in scientific computing and uncertainty quantification.
Research Areas
- Artificial Intelligence (AI) and Machine Learning (ML)
- Computational Science and Engineering
- Numerical Analysis
- Probability and Statistics
- Data Science
- Numerical Analysis
Additional Information
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Professional Experience
- Assistant Professor of Applied Math, Columbia University, 2022-
- Research Scientist, Amazon, May - Aug 2021
- Givens Associate, Argonne National Lab, Jun - Aug 2020
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Honors & Awards
- Second Place of IMA Leslie Fox Prize for Numerical Analysis
- Finalist of Best Paper for Young Researchers Prizes at 2022 International Conference on Continuous Optimization (2022)
- Rising Star in Computational and Data Sciences (2022)
- Bella Manel Prize (2020)
- Isaac Barkey and Ernesto Yhap Fellowship (2019)
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Education
- PhD, Mathematics, Courant Institute, New York University
- BS, Computational Mathematics, Peking University