Berkeley IEOR Seminar Schedule

Monday, February 9, 2026
Amitabh Sinha
Amazon
Analytics for Retail Supply Chains

[POSTPONED] Monday, February 23, 2026
Srikanth Jagabathula
NYU Stern

Monday, March 2, 2026
Bistra Dilkina
USC Viterbi School of Engineering
Machine Learning meets Combinatorial Optimization

Monday, March 9, 2026
Weina Wang
Carnegie Mellon University
"A Local-to-Global Approach for Decision-Making in Large Stochastic System"

Monday, March 16, 2026
Santiago Balseiro
Columbia University
Distributed Load Balancing at Scale for Generative AI Inference

Monday, March 30, 2026
Devavrat Shah
MIT
Time Series As A Unit Square: Towards a Compute Efficient Foundation Model

Monday, April 6, 2026
Stephen Wright
University of Wisconsin - Madison
Optimization in Theory and Practice

Monday, April 20, 2026
Shmuel Oren
UC Berkeley

Mobilizing Demand Flexibility in Wholesale Electricity Markets with VPP Supply Function

Monday, April 27, 2026
Ernest Ryu
UCLA
Point Convergence of Nesterov’s Accelerated Gradient Method: An AI-Assisted Proof

Monday, May 11, 2026
Mihai Cucuringu
UCLA

Signed and Directed Graph Clustering in Financial Time Series: Statistical Arbitrage, Lead-Lag Structure, and the Market Tug-of-War

Monday, September 8, 2025
Opher Baron
University of Toronto
Queueing Analytics: Machine Learning, Causal Queueing, and SiMLQ for Data Driven Simulation

Monday, September 15, 2025
Kay Giesecke
Stanford University
Learning Illiquid Asset Prices

Monday, September 22, 2025
David Wajc
Technion — Israel Institute of Technology
Prophets, Philosophers, and Online Algorithms.

Monday, September 29
Alper Atamturk
UC Berkeley
Multi-period mixed-integer quadratic programming

Monday, October 6, 2025
Mohit Singh
Georgia Institute of Technology
A Poisson Process for Submodular Maximization

Monday, October 13, 2025
Karthyek Murthy
Viterbi University of Southern California
The Scaling Behaviors in Achieving High Reliability via Chance-
Constrained Optimization

Monday, October 20, 2025
R Ravi
Carnegie Mellon University
Approximately Packing Dijoins Via Nowhere-Zero Flows

Monday, November 3, 2025
Katya Scheinberg
Georgia Institute of Technology
A study of stochastic and noisy oracles in unconstrained continuous optimization

Monday, November 10, 2025
Clifford Stein
Columbia University
Scheduling with Predictions: Energy and Speed

Monday, November 17, 2025
Andre Wisobono
Yale University
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality

Monday, December 1, 2025
Dorit S. Hochbaum
UC Berkeley
Fastest Algorithm, in Theory and Practice, for Densest Subgraph and other Ratio Problems: The incremental parametric cut

Monday, December 8, 2025
Zhengyuan Zhou
NYU Stern
Optimal No-Regret Learning in Repeated First-Price Auctions

Monday, February 3, 2025
John Carlsson
USC Viterbi
Continuous approximation models for some modern logistical problems

Friday, February 7, 2025
Sandeep Gopisetty
IBM
*Room 310, Sutardja Dai Hall*
Data Model & Governance

Monday, February 10, 2025
Mor Harchol-Balter
Carnegie Mellon University
Queueing Solutions for Scheduling Today’s Data Center Jobs

Monday, February 24, 2025
Terry Taylor
UC Berkeley Haas School of Business
What is the Impact of Labor Productivity on the Optimal Staffing Level?

Monday, March 10, 2025
Jeannette Song
Duke University
Innovator's Edge in Supply Chain Transparency and Food Waste Reduction

Monday, March 17, 2025
Vivek F Farias
MIT
Massive Speedups for Policy Simulation with applications to Inventory Management

Monday, March 31, 2025
Jiawei Zhang
NYU Stern
Degeneracy Is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions

Monday, April  7, 2025
Hongseok Namkoong
Columbia University
Interactive Decision-making via Autoregressive Generation

Monday, April  21, 2025
Alexandre Jacquillat
MIT Sloan
Deviated Fixed-route Microtransit: Design and Operations

Monday, April 28, 2025
Yonatan Mintz
University of Wisconsin-Madison

Monday, September 9, 2024
Wei Xie
Northeastern University
Sample Efficient Reinforcement Learning for Process Optimal Control

Monday, September 16, 2024
Michael Ludkovski
UC Santa Barbara
Optimizing Intra-Day Battery Energy Storage Dispatch

Monday, September 23, 2024
Omar El Housni
Cornell University and Cornell Tech
Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms

Monday, September 30, 2024
Sergey Nadotchiy
Illinois Tech
Consistency of MLE in partially observed diffusion models on a torus.

Monday, October 7, 2024
Chao Zhou 
QRT
Convergence analysis of controlled particle systems arising in deep learning

Monday, October 14, 2024
Gesualdo Scutari
Purdue University
Statistical inference over networks: Decentralized optimization meets high-dimensional statistics

Monday, October 28, 2024
Patrick Jaillet
MIT
Near-Optimal Mechanisms for Resource Allocation without Monetary Transfers

Monday, November 4, 2024
Jean-Paul Watson
Lawrence Livermore National Laboratory

Monday, November 18, 2024
Nicole Immorlica
Microsoft

Monday, December 2, 2024
Gian-Gabriel Garcia
Georgia Tech

Monday, December 9, 2024
Peter Frazier

Monday, January 29, 2024
Sami Davies
UC Berkeley
One Partition Approximation for All $ell_p$ Objectives in Correlation Clustering

Monday, February 12, 2024
Sam Burer
University of Iowa
An Extended Validity Domain for Constraint Learning

Monday, February 26, 2024
Amin Saberi
Stanford
Matching in Dynamic Environments

Monday, March 4, 2024 (talk not to be recorded)
Tor Schoenmeyr
Tesla
Theoretical Models and Practical Considerations for Material Planning at a Large Automotive Manufacturer
New Location: Barker Hall, Room 101

Monday, March 11, 2024
Jelena Diakonikolas
University of Wisconsin-Madison
Cyclic Block Coordinate Methods on a Finer Scale: Tighter Bounds and New Methods

Monday, April 1, 2024
David Shmoys
Cornell University
Algorithmic Tools for Redistricting: Fairness via Analytics

Monday, April 8, 2024
Linwei Xin
University of Chicago Booth School of Business
VC Theory for Inventory Policies

Monday, April 15, 2024
Raghav Singal
Dartmouth University
Bounding Counterfactuals in Hidden Markov Models (joint work with Martin Haugh)

Monday, May 6, 2023
Chen Chen
Ohio State University
Parallel Preprocessing for Mixed-Integer Linear Programming
New Location: Etcheverry Hall, Room 1174

Monday, September 11, 2023 | 3:30 pm - 4:45 pm
Nam Ho-Nguyen
The University of Sydney
Adversarial classification via distributional robustness with Wasserstein ambiguity

Monday, October 2, 2023 | 3:30 pm - 4:45 pm
Philip Kaminsky
UC Berkeley & Amazon
Freight Capacity Portfolio Design in a Two-Sided Freight Marketplace

Monday, October 9, 2023 | 3:30 pm - 4:45 pm
Jelena Diakonikolas [POSTPONED]
University of Wisconsin-Madison
Cyclic Block Coordinate Methods on a Finer Scale: Tighter Bounds and New Methods

Monday, October 23, 2023 | 3:30 pm - 4:45 pm
Xin Guo
UC Berkeley

Monday, October 30, 2023 | 3:30 pm - 4:45 pm
Jong-Shi Pang
USC
A happy homecoming after a fruitful “non”-journey

Monday, November 6, 2023 | 3:30 pm - 4:45 pm
Debankur Mukherjee
Georgia Tech

Monday, November 13, 2023 | 3:30 pm - 4:45 pm
James Orlin
MIT Sloan School of Management
The strong maximum circulation problem: a new way of aggregating preferences.

Monday, November 20, 2023 | 3:30 pm - 4:45 pm
Bento Natura
Georgia Tech
A strongly polynomial algorithm for linear programs with at most two nonzero entries per row or column.

Monday, November 27, 2023 | 3:30 pm - 4:45 pm [CANCELLED]
Sami Davies
UC Berkeley
One Partition Approximation for All $ell_p$ Objectives in Correlation Clustering

Tuesday, November 28, 2023 | SPECIAL LOCATION & TIME: Room 3111 and 4-5 PM
Guanghui (George) Lan
Georgia Tech
Uniform Optimality for Convex and Nonconvex Optimization

Monday, December 4, 2023 | 3:30 pm - 4:45 pm
Stefanus Jasin
University of Michigan
Joint Inventory and Pricing for a One-Warehouse Multi-Store Problem: Spiraling Phenomena, Near Optimal Policies, and the Value of Dynamic Pricing

Monday, March 20, 3:30-4:30 pm
Vijay Vazirani
University of California, Irvine
LP-Duality Theory and the Cores of Games

Monday, April 3, 3:30-4:30 pm
Manxi Wu
Cornell University
Spatiotemporal Pricing for Efficient Autonomous Carpooling Markets

Monday, April 24, 3:30-4:30 pm
Yingfei Wang
University of Washington
Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19

Monday, April 24, 3:30-4:30 pm
Jaksa Cvitanic
California Institute of Technology
Optimal Fund Menus

Monday, September 12, 3:30-4:30 pm
Shipra Agrawal
Columbia University
Dynamic Pricing and Learning under the Bass Model

Monday, September 19, 3:30-4:30 pm
Thibaut Mastrolia
UC Berkeley
Agency problems and applications to ecology, energy systems and financial markets

Monday, October 3, 3:30-4:30 pm
Garrett van Ryzin
Amazon
Market-based capacity management for Amazon FBA

Monday, October 24, 3:30-4:30 pm
Swati Gupta
Georgia Tech
Bridging Ethical Algorithms, Law, and Practice: Hiring and Beyond

Monday, October 31, 3:30-4:30 pm
Will Ma
Columbia University
A Nonparametric Framework for Online Stochastic Matching with Correlated Arrivals

Monday, November 7, 3:30-4:30 pm
Matt Draper and Bo Liao
Micron Technology
Hierarchical Linear Programming at Scale

Monday, November 28, 3:30-4:30 pm
Simge Kucukyavuz (PhD '04 IEOR)
Northwestern University