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

  • Gold Medal Young Researcher Poster Competition Award, Conference on Recent Advances in Statistics and Data Science at Rutgers. 2023

  • 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