Biography
I am a fifth-year PhD candidate in The Department of Statistics and Data Science at Cornell University. I’m very fortunate to be supervised by Giles Hooker and to have Madeleine Udell and Kilian Weinburger on my committee. Before my PhD, I got my Bachelor’s degree from School of Mathematical Sciences, Peking University.
My research interests lie at the intersection of machine learning and statistical inference. In particilar, I have worked on ensemble models, uncertainty quantification and interpretable machine learning.
I will join Facebook as a research scientist in June 2021.
Interests
- Uncertainty Quantification
- Interpretable Machine Learning
- Ensemble Models
Education
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PhD in Statistics, 2021
Cornell University
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Master in Computer Science, 2020
Cornell University
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BSc in Probability and Statistics, 2016
Peking University
Experience
Software Engineer (Machine Learning) Intern
Applied Scientist Intern
Applied Scientist Intern
Publications
(2021).
S-LIME: Stabilized-LIME for Model Explanation.
In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21), August 14–18, 2021, Virtual Event, Singapore.
(2021).
Unbiased Measurement of Feature Importance in Tree-Based Methods.
ACM Transactions on Knowledge Discovery from Data (TKDD).
(2019).
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation.
Proceedings of Transportation Research Board 99th Annual Meeting, Washington, DC.
(2019).
V-statistics and Variance Estimation.
arXiv preprint arXiv:1912.01089.