CV

My cv in PDF can be found here

Education

• Ph.D. in Computer Science, University of Massachusetts Amherst, 2026 (expected)
• M.S. in Computer Science, University of Massachusetts Amherst, 2024
• B.Eng. in Computer Science and Technology, Tsinghua University, 2020
• Minor in Finance and Entrepreneurship, PBCSF, Tsinghua University, 2019

Work experiences

• Summer Pre-doctoral Researcher, Flatiron Institute, Simons Foundation, 2024
• ATG Imaging Research Intern, Dolby Laboratories Inc., 2023

Services

Served as a reviewer for

• NeurIPS 2024
• AABI 2023, 2024
• AISTATS 2023, 2024
• ICML 2022

Talks

• Jinlin Lai. 2023. Automatically Marginalized MCMC in Probabilistic Programming. Contributed talk in the 5th Symposium on Advances in Approximate Bayesian Inference.

Teaching

Fall 2024, Advanced Algorithms, Teaching Assistant

Spring 2024, Probabilistic Graphical Models, Teaching Assistant

Spring 2023, Probabilistic Graphical Models, Teaching Assistant

Spring 2022, Probabilistic Graphical Models, Teaching Assistant