Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Published multiple papers, including 'How Post-Training Reshapes LLMs' (COLM 2025), 'Towards Unified Attribution in Explainable AI' (Preprint), 'Automated Molecular Concept Generation and Labeling with Large Language Models' (COLING 2025), etc. Received several honors such as NENLP Outstanding Paper Award (2025), KDD Outstanding Reviewer (2025), Amazon Fellowship (2023), J.P. Morgan Chase AI Ph.D. Fellowship (2023), etc.
Research Experience
Currently a postdoctoral fellow at the D^3 Institute at Harvard University, working with Professor Hima Lakkaraju. Research focuses on data analysis, studying large language models, and developing training techniques.
Education
Ph.D. in Computer Science from University of California, Los Angeles (UCLA), advised by Professor Yizhou Sun; M.S. in Statistics from Stanford; B.A. in Statistics from Berkeley.
Background
Research Interests: Scientifically understanding AI to ensure it is trustworthy and beneficial to humanity. Professional Field: Computer Science, Statistics. Brief Introduction: Currently a postdoctoral fellow at the D^3 Institute at Harvard University.
Miscellany
Contact Information: Email: shzhang@hbs.edu, LinkedIn, GitHub, Google Scholar