Biography
I am currently a postdoctoral researcher in the Department of Statistics and International Computer Science Institute (ICSI) at UC Berkeley, working with Michael W. Mahoney.
I received my Ph.D. degree in statistics from the University of Chicago in 2021, under the supervision of Mihai Anitescu and Mladen Kolar. Before attending UChicago, I received my B.S. degree in mathematics from Nanjing University in 2016. I also visited the Statistics department at UC Davis as an exchange student and worked with Jane-Ling Wang, Hans-Georg Müller, and Christiana Drake in 2015.
I am broadly interested in the mathematical foundations of data science, with topics including high-dimensional statistics, graphical models, semiparametric models, optimal control, and large-scale and stochastic nonlinear optimization. I am also interested in the applications of machine learning methods in biology, neuroscience, and engineering.
(I’m on the 2023-2024 job market. Happy to chat if you have any information.)
- High-dim estimation & inference
- Probabilistic graphical models
- Semiparametric models
- Stochastic optimization
- Uncertainty quantification
- Optimal control
- Scientific machine learning
Ph.D. in Statistics, 2021
University of Chicago
B.S. in Mathematics, 2016
Nanjing University
Exchange student in Statistics, 2015
University of California, Davis
Selected Papers
Mathematics of Operations Research, 2023.
Mathematical Programming, 2023.
IEEE Transactions on Automatic Control, 2023.
Mathematical Programming, 2022.
Mathematical Programming, 2022.
arXiv preprint arXiv:2205.13687, 2022.
Advances in Neural Information Processing Systems, 2021.
Biometrika, 2020.
SIAM Journal on Optimization, 2020.
Contact
- senna@berkeley.edu
- 367 Evans Hall Room 473, University of California, Berkeley, CA 94720