About me
Welcome to my personal website! I’m a 4th-year Ph.D. student in Department of Statistics at Rutgers University. I am very fortunate to have Pierre C. Bellec as my PhD advisor.
My research interests span a wide range of areas in Statistics and Machine Learning, including high dimensional statistical inference, conformal prediction, causal inference, algorithmic fairness, and privacy-preserving data analysis. Specifically, I develop tools for uncertainty quantification (e.g. confidence interval for prediction), to improve the reliability of statistical machine learning methods.
Recent news
[Sep. 2023]: Paper Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions accepted in NeurIPS 2023.
[May 2023]: I am honored to receive the Gold Medal of student poster competition at the Conference on Recent Advances in Statistics and Data Science, with a Celebration of Professors Regina Liu and Cun-Hui Zhang’s Special Birthdays.
[March 2023]: I am honored to receive the IMS Hannan Graduate Student Travel Award.
[Jan. 2023]: I am honored to receive the Travel Award at the 2023 Statistics Annual Winter Workshop titled “Modern Computational Statistics” hosted by the statistics department at the University of Florida.
Contact me
kai.tan@rutgers.edu
Department of Statistics
Rutgers University
477 Hill Center, Busch Campus
110 Frelinghuysen Road
Piscataway, NJ 08854