Boeing Distinguished Colloquia

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
Natalia
Natalia Komarova: Stochastic Calculus of Stem Cells
October 19, 2017
Harry Swinney
Harry Swinney: Dynamics and energetics of waves inside the oceans
May 24, 2017
Trachette Jackson
Trachette Jackson: Turning Cancer Discoveries into Effective Targeted Treatments
April 27, 2017
Howard Stone
Howard Stone: Surprises in the Fluid Dynamics of Flows in Simple Geometries
April 13, 2017
Rene Carmona
Rene Carmona: Mean Field Games: theory and applications
February 2, 2017