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Jun 26, 2026 I had a great time attending ACM e-Energy in Banff this week! We had two full papers accepted to the main conference: one on online and learned algorithms for thermal energy network control, and one on risk-sensitive and learning-augmented algorithms for peak-aware energy scheduling (best paper finalist!). In addition, I co-organized the workshop on Physics-Informed Learning for Optimization and Control of Susatainable Energy Systems, and gave an award talk for the SIGEnergy dissertation award. It was great to see so many collaborators and friends!
Jun 12, 2026 I had a great time attending ACM SIGMETRICS in Ann Arbor this week! We had two papers on online and learning-augmented algorithms in the main conference, and I co-organized the Learning-augmented Algorithms: Theory and Applications workshop on Friday.
May 14, 2026 I am honored to have received the 2026 ACM SIGEnergy Doctoral Dissertation Award! Many thanks to my incredibly supportive PhD advisors and to all of the wonderful collaborators I worked with during my PhD, without whom this would not be possible!
Apr 15, 2026 Very excited that our team – comprising Anders Wikum, myself, and Ellen Vitercik at Stanford and Ana Rivera and Priya Donti at MIT – has won 3rd place in EPRI’s “AI-ccelerating Unit Commitment” competition! We discuss our strategy in this webinar (from 6/17/26). Congratulations to the first and second place winners and all the other participants!
Mar 19, 2026 I had a great time attending the 5th Workshop on Foundation Models for the Electric Grid at Harvard this week! I chaired the session on LLMs/Agentic AI for the grid and got the chance to learn about some very interesting emerging directions in this space.
Feb 17, 2026 I gave this week’s RAIN Seminar at Stanford. Thanks to my postdoc host Ellen Vitercik for inviting me!
Jan 22, 2026 One paper accepted to L4DC 2026 on end-to-end learning for flexible EV aggregation!
Dec 12, 2025 Two papers accepted to ACM SIGMETRICS 2026: one on online smoothed demand management and another on prediction-specific design of learning-augmented algorithms. Many thanks to my wonderful collaborators!
Dec 02, 2025 I am at NeurIPS in San Diego this week! Our paper on End-to-End Conformal Risk Control will be presented in the poster session on Wednesday.
Nov 05, 2025 I gave a talk on risk-sensitive online algorithms in the CS Theory Seminar at UMass Amherst. Thanks to my wonderful collaborators Adam Lechowicz and Mohammad Hajiesmaili for hosting me!
Oct 27, 2025 It was great attending INFORMS in Atlanta and and catching up with so many collaborators and friends! I gave a talk on end-to-end learning for contingency screening in the session “Human-Centric Energy Markets.”
Oct 22, 2025 Our paper End-to-End Conformal Calibration for Optimization Under Uncertainty was accepted at Transactions on Machine Learning Research
Sep 22, 2025 Visited UC Berkeley to give an eMERGE Seminar. A big thanks to Yi Ju and Scott Moura for inviting and hosting me!
Aug 01, 2025 I have officially started as a Stanford Energy Postdoctoral Fellow! Please reach out if you’re in the Bay Area and interested in chatting about research!
Jun 30, 2025 I am at INFORMS APS in Atlanta this week! I will be presenting on our work on Risk-Sensitive Online Algorithms in the session “Learning-Augmented Online Optimization.”
Jun 17, 2025 We have one paper at ACM e-Energy this week on learning-augmented scheduling with fairness constraints for sustainable compute workloads.
Jun 13, 2025 I graduated with my PhD! My dissertation was awarded Caltech’s Ben P.C. Chou Doctoral Prize in Information Science and Technology, as well as the Demetriades-Tsafka-Kokkalis Prize in Environmentally Benign Renewable Energy Sources or Related Fields.
Jun 09, 2025 I am at ACM SIGMETRICS in Stony Brook this week! We have one paper in the main conference on learning-augmented spatiotemporal online allocation with applications to carbon-aware workload shifting, and I also co-organized the third annual workshop on Learning-augmented Algorithms: Theory and Applications.
Jun 04, 2025 I am at L4DC in Ann Arbor this week to present our paper on power grid contingency screening with input-convex neural networks.
May 14, 2025 I successfully defended my dissertation! Thank you to my advisors Adam Wierman and Steven Low and to my other committee members Eric Mazumdar, Mohammad Hajiesmaili, and Baosen Zhang for their generous guidance and support throughout my graduate studies!
Apr 22, 2025 Our paper Robust machine-learned algorithms for efficient grid operation was published in Environmental Data Science.
Mar 23, 2025 Congratulations to my coauthor Chris Yeh for winning the best student presentation award at the BAAICB Conference in DC! Chris presented on our paper End-to-End Conformal Calibration for Optimization Under Uncertainty.
Jan 09, 2025 Our work on End-to-End Conformal Calibration for Optimization Under Uncertainty won honorable mention for the best poster award at the LANL Grid Science Winter School and Conference!
Dec 31, 2024 I have been awarded a Stanford Energy Postdoctoral Fellowship! Looking forward to spending next year in the Bay Area.
Oct 21, 2024 I gave a talk in the session “Optimization and Learning for Sustainable Grids” at INFORMS 2024.
Oct 18, 2024 I gave a talk in the Systems and Sustainability Seminar at UMass Amherst.
Oct 10, 2024 I gave a talk at the Cornell ORIE Young Researchers Workshop.
Sep 30, 2024 I’m pleased to have been named a 2024 PIMCO Graduate Fellow in Data Science!
Jul 21, 2024 We have two papers at ICML this week on online algorithms with UQ predictions and convex function chasing with long-term constraints.
Jul 03, 2024 I gave an Amii AI Seminar at the University of Alberta. Watch the recording here.
Jun 30, 2024 I am at COLT in Edmonton this week to present on our recent work on Risk-Sensitive Online Algorithms.
Jun 14, 2024 Congratulations to our outstanding undergraduate researchers James, Helen, and Jerry on their graduation from Caltech! Wishing them all the best as they begin their doctoral studies!
Jun 10, 2024 I am at ACM SIGMETRICS in Venice this week! We have two papers in the main conference on new (learning-augmented) algorithms for carbon-aware datacenter operation, and I will also be giving talks in our Learning-augmented Algorithms workshop and the MAMA workshop.
Jan 10, 2024 Excited to be co-organizing the second annual workshop on Learning-augmented Algorithms: Theory and Applications at ACM SIGMETRICS/IFIP PERFORMANCE 2024!
Oct 24, 2023 I gave a talk at the UMass Amherst Theory Seminar.