Talks
Broad talks
Real-Time Decision-Making for Clean and Resilient Energy Systems
ISSNAF Franco Strazzabosco Young Investigator Award Symposium
Selected technical talks
Exact Performance Verification of First‑Order Methods in Parametric Convex Optimization
Graph Learning Meets Theoretical Computer Science Workshop
Learning Data-Driven Uncertainty sets with Mean Robust Optimization
International Conference on Stochastic Programming
École des Ponts, IP Paris, Paris, France,
2025-07.
Less Pessimistic Analysis of First-Order Methods: Exploiting Structure and Data
SIERRA Team Seminar
INRIA, École Normale Superierue, Paris, France,
2025-06.
Exact Verification of First-order Methods
via Mixed-Integer Linear Programming
Conference on Discrete Optimization and Machine Learning
Research Institute for Mathematical Sciences (RIMS), Kyoto, Japan,
2025-05.
Data-Driven Algorithm Design and Verification for Parametric Convex Optimization
IEMS Seminar
Northwestern University,
2024-10.
Data-Driven Algorithm Design and Verification for Parametric Convex Optimization
MINDS Seminar
Johns Hopkins University,
2024-09.
Learning for Decision-Making under Uncertainty
Robust Optimization Webinar
Learning for Decision-Making under Uncertainty
Artificial Intelligence and Discrete Optimization Workshop
Learning for Fast and Robust Real-Time Optimization
Department Seminar, Mechanical Engineering
UC Berkeley,
2022-11.
Mean Robust Optimization
Future of Analytics and OR Workshop at INFORMS
Indianapolis, IN,
2022-10.
Real-time decision-making via data-driven optimization
Cornell ORIE Seminar
CornellTech,
2022-02.
Accelerating quadratic optimization with reinforcement learning
INFORMS Annual Meeting
Anaheim CA,
2021-10.
Real-time decision-making via data-driven optimization
Joint Princeton Robotics and Optimization Seminar
A machine learning approach to optimization
INFORMS Annual Meeting 2020
Virtual (Zoom),
2020-11.
A machine learning approach to optimization
Mathematics of Data and Decisions at Davis (MADDD) Seminars
A machine learning approach to optimization
Fields Institute Focus Program on Data Science and Optimization
University of Toronto,
2019-11.
A machine learning approach to optimization
Operations Research Center IAP Seminar
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.