I look forward to presenting my latest research at the INFORMS 2026 Annual Meeting in San Francisco.
Congratulations to my mentee and co-author Apoorva Thanvantri for her first first-author paper, “Improving EV Aggregate Flexibility with End-to-End Learning,” accepted to L4DC 2026. Check my publications page for more details.
I successfully defended my PhD Thesis on “Learning Decision-Focused Uncertainty Representations: Theory and Applications in Sustainability.” and am honored to receive the Caltech Amori Doctoral Prize in Computing and Mathematical Sciences (CMS) and the Caltech Demetriades - Tsafka - Kokkalis Prize. Thank you to the Caltech CMS department and the Demetriades - Tsafka - Kokkalis Prize committee for these incredible honors!
Two of my papers have been accepted to ICLR 2026. My co-authors presented posters at the conference. Check my publications page for more details.
I was invited to attend the OpenMinds NextGen Summit at Stanford University to advance solutions towards the dual challenge of “more energy, less emissions, fast.” Thank you to the OpenMinds organization for this amazing opportunity!
I was selected as one of 3 speakers for the Caltech Science Journeys series for the 2025-26 season. I gave a public lecture on my research in AI for sustainability in Beckman Auditorium. The recording is available on Caltech’s YouTube channel. Thank you to the Caltech Science Journeys organizers for this opportunity!
I was invited to attend the Contextual Stochastic Optimization Workshop in February 2026 at the Banff International Research Station for Mathematical Innovation and Discovery, where I presented my work on learning decision-focused uncertainty representations. Thank you to the workshop organizers for the invitation!
I was invited to present my work on “Learning decision-focused uncertainty representations: theory and applications in sustainability” to Professor Sarah Dean’s group at Cornell University. Thank you Professor Dean for the invitation!
I was invited to give a seminar on “Learning decision-focused uncertainty representations: theory and applications in sustainability” at the University of Michigan, Electrical and Computer Engineering. Thank you professor Vijay Subramanian for hosting me!
I presented two conference papers at NeurIPS 2025 and two workshop papers at the NeurIPS 2025 Workshop on Tackling Climate Change with Machine Learning and the NeurIPS 2025 Workshop on Generative AI in Finance. Check my publications page for more details!
I gave a talk on “Learning Decision-Focused Uncertainty Representations: Theory and Applications to Sustainability” at the Harvard Power and AI Initiative at the School of Engineering and Applied Sciences (SEAS). Thank you Professors Le Xie and Na Li for the kind invitation!
I attended the Salata Institute Grid Engineering and Social Sciences Conference at Harvard University. Thank you Professor Le Xie for the invitation!
I presented my work on “Learning Decision-Focused Uncertainty Representations for Robust and Risk-Constrained Optimization” at the Energy and Applied Probability Session of the INFORMS 2025 Annual Meeting in Atlanta, Georgia. Thank you Professor Gal Mendelson for the invitation!
I presented a poster on “Learning Decision-Focused Uncertainty Representations for Risk-Aware Optimization” at the Cornell Young Researchers Workshop hosted at Cornell University in Ithaca, New York.
I am among 37 graduate students (5 in USA) selected for the 2025 Quad Fellowship, and I am featured in Caltech News. The Quad Fellowship is an initiative of the governments of The Quad countries (Australia, India, Japan, USA) to build ties among the next generation of STEM leaders.
I served as a panelist a session titled “AI - Buzzword or Breakthrough Technology?” for the Center for Climate Leadership and AI-driven Integrity and Mitigation (CLAIM) Workshop at the University of North Carolina at Chapel Hill. Thank you Professor Angel Hsu for the invitation!
I gave a talk on “Learning Decision-Focused Uncertainty Representations for Robust and Risk-Constrained Optimization” at the 2025 International Conference on Continuous Optimization (ICCOPT), hosted at the University of Southern California in Los Angeles, California.
I was invited to present my work on “End-to-end Conformal Calibration for Risk Control and Robust Optimization” at a group meeting of Professor Priya Donti’s group at MIT. Thank you Professor Donti for the inviation!
I was invited to present my work on “End-to-End Conformal Calibration for Robust Grid-Scale Battery Storage Optimization” at the 2025 SoCal OR/OM Day hosted at the UC Irvine Paul Merage School of Business.
I am one of 126 reviewers out of 3120 total reviewers to receive the AISTATS 2025 Best Reviewer Award.
I gave a talk titled “End-to-end conformal calibration for optimization under uncertainty” at the Johns Hopkins Junior MINDS (Mathematical Institute for Data Science) Seminar. Thank you Professor Anqi Liu for the invitation!
I was awarded best student presentation (out of 8 presenters) for my talk on “End-to-end conformal calibration for optimization under uncertainty” at the Business Analytics, Artificial Intelligence, and Cherry Blossom Conference at Johns Hopkins Carey Business School.