Boeing Distinguished Colloquia

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)
Edward Ott
Edward Ott: Collective Behavior of Large Networks of Simple Dynamical Units
(January 12, 2017)
Linda Petzold
Linda Petzold: The Emerging Roles and Computational Challenges of Stochasticity in Biological Systems
(November 17, 2016)