Boeing Distinguished Colloquia

Philippe Rigollet
Philippe Rigollet, The Mean-Field Dynamics of Transformers
April 2, 2026
Adrienne Fairhall
Adrienne Fairhall, Biological Algorithms of Learning
February 26, 2026
Yousef Saad
Yousef Saad, Extrapolation and Acceleration Methods in Scientific Computing
February 12, 2026
Per-Gunnar Martinsson
Per-Gunnar Martinsson: Randomized algorithms for linear algebraic computations
January 22, 2026
Petia Vlahovska
Petia Vlahovska: The Physics of Active Matter Systems through the Lens of the Quincke Rotor
October 23, 2025
Stephen Boyd
Stephen Boyd: Convex Optimization
April 3, 2025
Michael Weinstein
Michael Weinstein: Magnetic fields, Pseudo-magnetic fields and Applications
March 13, 2025
Xiaoye Sherry Li
Xiaoye Sherry Li: Interplay of Linear Algebra, Machine Learning, and High Performance Computing
November 7, 2024
Carola-Bibiane Schonlieb
Carola-Bibiane Schönlieb: Mathematical imaging: From geometric PDEs and variational modelling to deep learning for images
October 24, 2024
Eric Vanden-Eijnden
Eric Vanden-Eijnden: Generative modeling with flows and diffusions
October 10, 2024
Gunther Uhlmann
Gunther Uhlmann: Invisibility via Transformation Optics
May 23, 2024
Andrew Fowler
Andrew Fowler:  Drumlins
May 2, 2024
Joel Tropp
Joel Tropp: Randomly pivoted Cholesky
April 12, 2024
Diane Henderson
Diane Henderson: Understanding nonlinear surface water waves on deep water
April 5, 2024
Lisa Fauci
Lisa Fauci: Insights from biofluidmechanics: A tale of tails
March 29, 2024
Nicole Joseph
Nicole M. Joseph: Making Black Girls Count in Math Education: A Black Feminist Vision of Transformative Teaching
November 16, 2023
Houman Owhadi
Houman Owhadi: Computational Hypergraph Discovery, a framework for connecting the dots
November 2, 2023
Michael I Jordan
Michael I. Jordan: An Alternative View on AI: Collaborative Learning, Incentives, and Social Welfare
October 5, 2023
Beatrice Pelloni
Beatrice Pelloni: Non-smooth behaviour of linearised water waves: the Talbot effect revisited
May 19, 2023
Tavare
Simon Tavaré: Modeling and simulation of cancer evolution in single cells
April 6, 2023
SGottlieb
Sigal Gottlieb: Developing high order, efficient, and stable time-evolution methods using a time-filtering approach
October 27, 2022
LYing
Lexing Ying: Correcting Convexity Bias
October 6, 2022
TadashiTokieda
Tadashi Tokieda: Toy models
April 21, 2022
AravindSrinivasan
Aravind Srinivasan: Probabilistic Methods in Computer Science, Data Science, and Public Health
April 14, 2022
Fonseca
Irene Fonseca: Phase Separation in Heterogeneous Media
April 7, 2022
Mattingly
Jonathan Mattingly: Using Computational Sampling to Quantify Gerrymandering
March 10, 2022
NathanKutz
Nathan Kutz: The Future of Governing Equations
February 24, 2022
Zhilin Li
Zhilin Li: Augmented Methods for Stokes-Darcy FSI Problems & HOC Schemes for Flux Type BCs
October 28, 2021
KatyaScheinberg
Katya Scheinberg: Stochastic First Order Oracles and Where to Find Them
October 21, 2021
QiangDu
Qiang Du: Nonlocal modeling, analysis and computation: some recent development
March 5, 2020
AlanEdelman
Alan Edelman: Julia - Differentiable Programming and Software 2.0
November 21, 2019
RickDurrett
Rick Durrett: Spatial Evolutionary Games
November 14, 2019
RachelLevy
Rachel Levy: Mathematical Modeling from Kindergarten to Industry
November 7, 2019
AnimaAnandkumar
Anima Anandkumar: Infusing Structure into Machine Learning Algorithms 
October 31, 2019
RobertKohn
Robert Kohn: The Mathematics of Wrinkles and Folds
October 24, 2019
MissyCummings
Missy Cummings: A Machine Learning Approach to Modeling Human Interaction with Autonomous Systems
October 10, 2019
Kavita Ramanan
Kavita Ramanan: A Bird's Eye View of Stochastic Networks: From Load Balancing to Biochemical Reactions
May 9, 2019
Mark Levi
Mark Levi: Gaussian curvature, gyroscopes and some counterintuitive phenomena in mechanics
April 11, 2019
Andrew Stuart
Andrew Stuart: The Legacy of Rudolph Kalman
March 14, 2019
Hod Lipson
Hod Lipson: Automating Discovery, from Cognitive Robotics to Computational Biology
January 17, 2019
Norden
Norden Huang: On Holo-Hilbert Spectral Analysis: From Turbulence to Brain Waves
November 15, 2018
Lenhart
Suzanne Lenhart: Optimal Control Techniques for Management Strategies in Biological Models 
November 1, 2018
LorenaBarba
Lorena Barba: A Tale of Three Codes—How the sausage is made in computational research.
October 18, 2018
Perelson
Alan Perelson: Using applied mathematics to cure viral infections
May 10, 2018
Carl Wieman
Carl Wieman: Taking a scientific approach to teaching science (and most other subjects)
April 26, 2018
Zariphopoulou
Thaleia Zariphopoulou: Learning and Stochastic Optimization
April 12, 2018
Poggio
Tomaso Poggio: Why and When Can Deep Networks Avoid the Curse of Dimensionality
February 22, 2018
Demmel
James Demmel: Communication-Avoiding Algorithms for Linear Algebra and Beyond
January 25, 2018
MSilber
Mary Silber: Two tales of pattern formation: Michael Faraday's crispations and Alan Turing's spots
November 2, 2017
CCC
Carlos Castillo Chavez: Disease Dynamics and Evolution from Communicable to Vector Borne Disease
October 26, 2017