I am an applied scientist at Amazon. My research focuses on Large Language Model and Trustworthy AI .

News

[06/2024] I joined Amazon as an applied scientist, working on Large Language Model and Trustworthy AI.

[05/2024] My research work “Compact Optimality Verification for Optimization Proxies” has been accepted in ICML paper.

[04/2024] I defended my thesis! news

[03/2024] My research work “Real-Time Risk Assessment in Power System” has been highlighted in the latest AI Magazine about NSF’s National AI Institutes.

[01/2024] Our team won VNN-COMP’23 Award for outstanding benchmark. Check here.

[11/2023] I won Anderson-Interface Fellowship for Excellence in Research in the area of Energy and Sustainable Systems.

[09/2023] Two papers accepted in IEEE Transactions on Power Systems. Check paper and paper.

[07/2023] One paper accepted in IEEE Transactions on Power Systems. Check the paper.

[05/2023] I won thesis pitch competition for the ML and manufacturing track in IISE Annual Meeting 2023! Check the news.

[05/2023] I presented the advancement of End to End Learning and Optimization thrust for AI4OPT External Advisory Board (EAB). Check the news.

[04/2023] I will be presenting our work End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch at the INFORMS Annual Meeting 2023

[03/2023] I will be presenting our work Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments at the IISE Annual Meeting 2023

[03/2023] Check out NSF AI4OPT newsletter! I am in the student highlights.

[01/2023] I will attend 2023 Grid Science Winter School and Conference

[10/2022] I will be presenting our work Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch dispatch at the INFORMS Annual Meeting 2022