Published 30+ papers at top-tier venues including ICML, NeurIPS, ICLR, IEEE S&P, and ACM CCS
Recipient of Rising Stars in Data Science (University of Chicago DSI)
AdvML Rising Star Award (2022)
Wing Kai Cheng Fellowship awardee
Co-led Team α,β-CROWN to 4th place in VNN-COMP'23 (4th International Verification of Neural Networks Competition)
Finalist for 2022 Qualcomm Innovation Fellowship
Finalist for 2022 Two Sigma PhD Fellowship
RANUM framework for numerical reliability of DNNs accepted to ICSE 2023
InfiBench benchmark for code LLMs accepted to NeurIPS 2024
Serving as Area Chair for NeurIPS 2025, ICLR 2026, and ICML 2025
Awarded NSERC Discovery Grant with Launch Supplement
Background
Assistant Professor at the School of Computing Science, Simon Fraser University (SFU)
Principal Investigator of the Trustworthy AI (TAI) Lab at SFU
Research focuses on trustworthy deep learning, particularly certifiably trustworthy deep learning and trustworthy foundation models
Work spans machine learning and computer security
Aims to enable certifiable and verifiable trustworthiness guarantees (e.g., robustness, fairness, numerical reliability) for large-scale deep learning systems
Studies root causes of trustworthiness issues in deep learning and foundation models
Advocates for scientific and comprehensive evaluation of foundation models