news

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.