Talks
Upcoming talks
Contextual Stochastic Optimization
BIRS,
2026-02.
INFORMS Optimization Society Conference
Atlanta,
2026-03.
FDS Colloquium
Yale,
2026-04.
PACM Colloquium
Princeton,
2026-04.
LIDS Seminar
MIT,
2026-04.
CCDC Seminar
UCSB,
2026-05.
SIAM Conference on Optimization
Edinburgh,
2025-06.
International Conference on Optimization and Machine Learning
Taiwan,
2026-07.
Broad talks
Real-Time Decision-Making for Clean and Resilient Energy Systems
ISSNAF Franco Strazzabosco Young Investigator Award Symposium
Selected technical talks
Data-driven Analysis of First-Order Methods via Distributionally Robust Optimization
Automatic Control Seminar
EPFL, CH,
2026-01.
Exact Performance Verification of First-Order Methods in Parametric Convex Optimization
Simons Institute Workshop: Graph Learning Meets Theoretical Computer Science
Learning Data-Driven Uncertainty Sets with Mean Robust Optimization
International Conference on Stochastic Programming (semi-plenary)
École des Ponts - IP Paris, FR,
2025-07.
Less Pessimistic Analysis of First-Order Methods Exploiting Structure and Data
Sierra Seminar
École Normale Supérieure, FR,
2025-06.
Exact Verification of First-order Methods via Mixed-Integer Linear Programming
Conference on Discrete Optimization and Machine Learning
Kyoto University, JP,
2025-05.
Data-Driven Algorithm Design and Verification for Parametric Convex Optimization
IEMS Seminar
Northwestern University, IL,
2024-10.
Data-Driven Algorithm Design and Verification for Parametric Convex Optimization
MINDS Seminar
Johns Hopkins University, MD,
2024-09.
Learning for Decision-Making under Uncertainty
Robust Optimization Webinar
Learning for Decision-Making under Uncertainty
IPAM Workshop on Artificial Intelligence and Discrete Optimization
Learning for Fast and Robust Real-Time Optimization
Mechanical Engineering Seminar
UC Berkeley, CA,
2022-11.
Mean Robust Optimization
Future of OR Workshop at INFORMS Annual Meeting
Indianapolis, IN,
2022-10.
Real-time Decision-Making via Data-Driven Optimization
Cornell ORIE Seminar
Cornell Tech, NY,
2022-03.
Accelerating Quadratic Optimization with Reinforcement Learning
INFORMS Annual Meeting
Anaheim, CA,
2021-10.
A Machine Learning Approach to Optimization
Invited Session at the INFORMS Annual Meeting 2020
Virtual, Zoom,
2020-11.
A Machine Learning Approach to Optimization
Mathematics of Data and Decisions at Davis (MADDD) Seminars
Older talks
OSQP: An operator splitting solver for quadratic programs
JuMP Developers Meetup
High-speed integer optimal control using approximate dynamic programming
MPC Laboratory Seminars
UC Berkeley,
2016-10.