# 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.