Professional Experiences
Teaching Experience
The Summer Institute for Statistics in Big Data, Teaching Assistant, Summer 2023
Stat 301 (Introduction to Statistical Methods), Teaching Assistant, Fall 2016/ Spring 201
Mentoring Experience
Jiaming Liu, PhD candidate, Statistics, Rice University
Quan Le, former undergraduate student, Computer Science and Mathematics, Rice University, 2023; now a PhD student at Yale
Zach Rewolinski, former undergraduate student, Statistics and Computer Science, Rice University, 2023; now a PhD student at UC Berkeley
Professional Services
Organizer for a topic-contributed session in Joint Statistical Meetings, 2022
Session chair for ICASSP, 2022
Referee for Journal of the Royal Statistical Society: Series B, Journal of the American Statistical Association,
Biometrika, Journal of Machine Learning Research, Annals of Applied Statistics, IEEE Transactions on
Information Theory, Computational Statistics and Data Analysis, International Conference on Artificial
Intelligence and Statistics (AISTATS), International Conference on Machine Learning (ICML).
Presentations
Invited talk at the University of Florida, 1262023
Contributed talk at Joint Statistical Meetings, 2023
Poster presentation at ‘‘Conference on Recent Advances in Statistics and Data Science’’, Rutgers University, 2023
Poster presentation at the conference ‘‘Statistical Foundations of Data Science and their Applications", Princeton University, 2023
Talk in a topic-contributed session at Joint Statistical Meetings, 2022
Poster presentation at Workshop on Distribution-Free Uncertainty Quantification, ICML, 2022
Talk at IEEE Data Science and Learning Workshop, 2022
Poster presentation at ICASSP, 2022
Poster presentation at the Conference on Advances in Bayesian and Frequentist Statistics, Rutgers University, 2022
Poster presentation at the workshop ‘‘Perspectives in Statistical Modeling and Inference", University of Pennsylvania, 2021
Poster presentation at Joint Statistical Meetings, 2020
Poster presentation at NeurIPS 2020
Poster presentation at Joint Statistical Meetings, 2019
Honors
IMS Hannan Graduate Student Travel Award. 2021
Travel grant from Institute for Foundations of Data Science (IFDS), UW-Madison. 2019
Travel grant from IMA workshop on Forecasting from Complexity. 2018
National scholarship, USTC (Top 2%). 2015
Outstanding freshman scholarship, USTC(Top 20%). 2012
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