Talks
Broad talks
Real-Time Decision-Making for Clean and Resilient Energy Systems
ISSNAF Franco Strazzabosco Young Investigator Award Symposium
Technical talks
Learning for Decision-Making under Uncertainty
Thematic Einsten Semester: Mathematical Optimization for Machine Learning
Zuse Institute Berlin,
2023-09.
Learning for Decision-Making under Uncertainty
Mixed-Integer Programming Workshop 2023
University of Southern California,
2023-05.
Learning for Robust Optimization
Conference on Information Sciences and Systems
Johns Hopkins University,
2023-03-22.
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,
2022-11-14.
Mean Robust Optimization
Future of Analytics and OR Workshop at INFORMS
Indianapolis, IN,
2022-10.
Real-time decision-making via data-driven optimization
DEIB Seminar
Politecnico di Milano,
2022-06.
Real-time decision-making via data-driven optimization
Cornell ORIE Seminar
CornellTech,
2022-03.
Real-time decision-making via data-driven optimization
NASA JPL Multi-Agent Tech Talks
Virtual (Zoom),
2022-03.
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
Real-time decision-making via data-driven optimization
Raytheon Technologies Research Center
Virtual (Zoom),
2021-01.
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
IEOR Seminars
UC Berkeley,
2019-10.
A machine learning approach to optimization
SISL Seminars
Stanford University,
2019-10.
A machine learning approach to optimization
INFORMS Annual Meeting 2019
Seattle,
2019-10.
A machine learning approach to optimization
IDSS Seminar on Algebra Statistics and Optimization
MIT,
2019-05.
A machine learning approach to optimization
Operations Research Center IAP Seminar
Older talks
OSQP: An operator splitting solver for quadratic programs
Intl. Symposium of Mathematical Programming (ISMP)
University of Bordeaux,
2018-07.
OSQP: An operator splitting solver for quadratic programs
Mathematical Institute Seminars
University of Oxford,
2017-11.
OSQP: An operator splitting solver for quadratic programs
Control Systems Group Seminars
Cambridge University,
2017-06.
OSQP: An operator splitting solver for quadratic programs
Operations Research Center Seminars
MIT,
2017-06.
OSQP: An operator splitting solver for quadratic programs
JuMP Developers Meetup
High-speed integer optimal control using approximate dynamic programming
DYSCO Research Seminars
IMT Lucca,
2017-01.
High-speed integer optimal control using approximate dynamic programming
MPC Laboratory Seminars
UC Berkeley,
2016-10.
High-speed integer optimal control using approximate dynamic programming
European Conf. on Computational Optimization (EUCCO)
KU Leuven,
2016-09.