Education

B.S. in Computer Science, University of Michigan, 2019
B.S.E. in Electrical & Computer Engineering, UM-SJTU Joint Institute, Shanghai Jiao Tong University, 2019
Ph.D. in Data Science, Washington University in St. Louis, 2024 (expected)

Publications

Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

Polls, Context, and Time: A Dynamic Hierarchical Bayesian Forecasting Model for US Senate Elections

GD-GPIRT: A Gaussian Process Model for Generalized Dynamic Item Response Theory (working paper)

A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data

A Gaussian Process Framework for Structured, Flexible, and Interpretable Machine-Learning Models (working paper)

Idiographic Personality Gaussian Process for Psychological Assessment

Gaussian Process Conjoint Analysis for Adaptive Marginal Effect Estimation(preprint)

Presentations

Compressive Big Data Analytics (Most Likely Health Impact Award)

October 08, 2018

Poster at MIDAS Annual Symposium, Ann Arbor, University of Michigan

GD-GPIRT: A Gaussian Process Model for Generalized Dynamic Item Response Theory

November 11, 2022

Talk at DCDS Student Seminar, Washington University in St. Louis

A Multi-task Gaussian Process Model for Inferring Time-varying Treatment Effects in Panel Data (Poster)

April 25, 2023

Poster at AISTATS, Valencia, Spain

Active learning for marginal effect estimation in Gaussian Process preference learning

May 24, 2023

Poster at ISNET-9, St Louis, Washington University

Generalized budget-constrained conjoint analysis via active learning

July 09, 2023

Poster at PolMeth XL, Stanford University

Work Experience

Fall 2019 - now: Graduate Research Assistant
- Washington University in St. Louis
- Supervisor: Prof. Roman Garnett, Prof. Jacob Montgomery
Summer 2018: Software Development Intern
- Foxit Software, Inc
Fall 2016 - Summer 2017: Teaching Assistant
- UM-SJTU Joint Institute, Shanghai Jiao Tong University
- Supervisor: Prof. Horst Hohberger
Winter 2017: Undergraduate Research Intern
- Shanghai Fudan Microelectronics Group Co., Ltd.

Teaching

Teaching Assistant, Fall 2016 - Summer 2017

Mentored Teaching Experience (Instructor Aid), Spring 2021

Mentored Teaching Experience (Instructor Aid), Fall 2021

Skills

Softwares: C, C++, C#, Python, Java, Javascript, HTML, Latex, SQL, Matlab, R, Linux
Languages: English(professional), Chinese(naive), German(basic)