Multiple papers accepted at top-tier conferences including NeurIPS (2022–2025), ICML (2022–2025), ICLR (2023–2025), AISTATS (2023–2025), EMNLP 2025, COLM 2025, IROS (2024–2025), AIES 2023, etc.
Received NSF IIS RI funding for research on gradient-based discrete sampling
Awarded Amazon Research Award for studying test-time alignment
Recipient of the Institute for Physical Artificial Intelligence (IPAI) Postdoctoral Research Program Fund
Recipient of the Ross-Lynn Research Scholar Fund
Served as Area Chair for ICML 2025, NeurIPS 2024, UAI 2024, AISTATS 2024, etc.
Serving as Action Editor for Transactions on Machine Learning Research (TMLR)
Selected for AAAI-25 New Faculty Highlights program
Co-organized multiple workshops and symposia, including Advances in Approximate Bayesian Inference (4th–7th), ICML 2023 Workshop on Sampling and Optimization in Discrete Space, NeurIPS 2024 Workshop on ML with New Compute Paradigms, etc.
Invited speaker at venues such as Monte Carlo Seminar, Midwest Machine Learning Symposium, IJCAI 2025 Workshop, Morgan Stanley External Speaker Series, Simons Institute at UC Berkeley, etc.