Shanyin Tong 童善因
Email: st3503@columbia.edu
Office: 284A Engineering Terrace
I am a term Assistant Professor at Department of Applied Physics and Applied Mathematics, Columbia University. I completed my PhD in applied math at
Courant Institute of Mathematical Sciences, New York University, advised by
Prof. Georg Stadler
and Prof. Eric Vanden-Eijnden.
Please find my Curriculum Vitae (Dec 2022).
Research Interest: My research focus is on applied and computational mathematics, in particular on uncertainty quantification,
PDE-constrained optimization, optimization under uncertainty, rare and extreme events and inverse problems. The main applications driving my research are
the hazard assessment and mitgation of extreme tsunami waves, optimal portfolio allocations, and seismic inversion.
Currently, I am also interested in using machine learning methods in scientific computing and uncertainty quantification.
Conferences and News:
Upcoming/Recent
-
I will present in the MSRI (SLMath) Special Session on Summer Research in Mathematics (SRiM): Applied and Computational Mathematics at the Joint Mathematics Meetings (JMM 2023) in Boston on Jan 4, 2023.
- We started a Women and Diversity association at APAM (WDAPAM) to support and increase the visibility of historically marginalized minorities at the Department of Applied Physics and Applied Mathematics, Columbia University.
The proposed activities can be found in WDAPAM homepage.
If you are interested in participating in WDAPAM activities, please join our Slack Group.
2022
-
Presented in APAM Research Conference at Columbia
University, NY, Sep 16
- Finalist of Best Paper for Young Researchers Prize and Session
at the International Conference on Continuous Optimization (ICCOPT)
Lehigh University in Bethlehem, PA,
July 23-24.
- Selected attendee in
PIMS-IFDS-NSF Summer School on Optimal Transport at University of Washington in Seattle, WA,
June 20 - July 1.
- Selected attendee and presented in Rising Stars in Computational
and
Data Sciences in Albuquerque, NM,
April 20-21.
- Presenter in Mini-Symposium: Characterization and prediction of rare and extreme events in complex systems at
SIAM Conference on Uncertainty Quantification
(UQ22), April 12-15.
- Presenter in
Scientific Computing and Numerics (SCAN) seminar at
Cornell University, March 21.
- Presented in
CCB Seminar at Center for Computational Biology at Simons Foundation, Jan 21.
- Presented in Applied Mathematical
colloquium at
APAM at Columbia University, Jan 20.
2021
2020
2019
2018
- Attended the 2018 Gene Golub SIAM Summer School,
Inverse Problems:
Systematic Integration of Data with Models under Uncertainty in Breckenridge, CO, June 17-30.
Gave a presentation on team project "Data Fitting with Soap Bubble Surfaces: A Minimal Surfaces Problem".