Campuses:

Talks

Date Title / Speaker Event
May 02, 2023 Lecture
Elad Romanov (Stanford University)
Data Science Seminar
April 21, 2023 Lecture
Michelle Snider (Service Robotics & Technologies)
Industrial Problems Seminar
April 14, 2023 Lecture
Laura Lurati (Edward Jones)
Industrial Problems Seminar
April 07, 2023 Lecture
Sandhya Prabhakaran (Moffitt Cancer Center)
Industrial Problems Seminar
February 24, 2023 Lecture
Brittan Farmer (The Boeing Company)
Industrial Problems Seminar
February 03, 2023 Lecture
Brittany Baker (The Hartford)
Industrial Problems Seminar
January 27, 2023 Lecture
Natalia Alexandrov (NASA Langley Research Center)
Industrial Problems Seminar
January 24, 2023 Lecture
Meng-Yu (Jennifer) Kuo (University of Minnesota, Twin Cities)
Data Science Seminar
January 20, 2023 Lecture
Luke Jacobsen (Medtronic), Jeff Lande (Medtronic)
Industrial Problems Seminar
December 13, 2022 Lecture
Pei-Chun Su (Duke University)
Data Science Seminar
December 09, 2022 Lecture
Cora Brown (Bridge Financial Technology)
Industrial Problems Seminar
December 06, 2022 Lecture

Soledad Villar (John Hopkins University)

Data Science Seminar
December 02, 2022 Lecture
Austin Tuttle (Open Systems International)
Industrial Problems Seminar
November 29, 2022 Lecture
Yunan Yang (ETH Zürich)
Data Science Seminar
November 22, 2022 Lecture
Tolga Birdal (Imperial College London)
Data Science Seminar
November 18, 2022 Lecture
Nessy Tania (Pfizer)
Industrial Problems Seminar
November 15, 2022 Lecture
Vladimir Kobzar (Columbia University)
Data Science Seminar
November 11, 2022 Lecture
Marc Light (Censys.io)
Industrial Problems Seminar
November 08, 2022 Lecture
Simon Foucart (Texas A & M University)
Data Science Seminar
November 04, 2022 Lecture
Fay Salmon (3M)
Industrial Problems Seminar
November 03, 2022 The Big Bang of Numbers: How to Build the Universe Using Only Math

Manil Suri (University of Maryland Baltimore County)

Public Lecture Series
November 01, 2022 Lecture
Stanley Osher (University of California, Los Angeles)
Data Science Seminar
October 28, 2022 Lecture
Pin-Yu Chen (IBM)
Industrial Problems Seminar
October 25, 2022 Lecture
Morgan Turner (University of Minnesota, Twin Cities)
Data Science Seminar
October 18, 2022 Lecture
Yunpeng Shi (Princeton University)
Data Science Seminar
October 14, 2022 Lecture
Nicole Bridgland (Fulcrum)
Industrial Problems Seminar
October 11, 2022 Does the Data Induce Capacity Control in Deep Learning?

Pratik Chaudhari (University of Pennsylvania)

Data Science Seminar
October 07, 2022 Navigating a Career Path, a Case Study

Paula Dassbach (Medtronic)

Industrial Problems Seminar
October 04, 2022 Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness

Casey Garner (University of Minnesota, Twin Cities)

Data Science Seminar
September 30, 2022 Lecture
Alex Gutierrez (Google Inc.)
Industrial Problems Seminar
September 23, 2022 Research Problems in Quantitative Finance

John Goes (GMO)

Industrial Problems Seminar
September 21, 2022 Multiscale analysis of manifold-valued curves
Nir Sharon (Tel Aviv University)
Data Science Seminar
September 20, 2022 Flexible multi-output multifidelity uncertainty quantification via MLBLUE

Matteo Croci (The University of Texas at Austin)

Data Science Seminar
September 16, 2022 Simplicity Bias in Deep Learning
Prateek Jain (Google Inc.)
Industrial Problems Seminar
September 13, 2022 The Back-And-Forth Method For Wasserstein Gradient Flows

Wonjun Lee (University of Minnesota, Twin Cities)

Data Science Seminar
August 05, 2022 Speculations
Gunnar Carlsson (Stanford University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 05, 2022 Approximations to Classifying Spaces from Algebras
Ben Williams (University of British Columbia)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 04, 2022 Gratitude
Vin de Silva (Pomona College)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 04, 2022 Gromov-Hausdorff distances, Borsuk-Ulam theorems, and Vietoris-Rips Complexes
Henry Adams (Colorado State University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 04, 2022 Equivariant methods in chromatic homotopy theory
XiaoLin (Danny) Shi (University of Chicago)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 04, 2022 Equivariant algebraic K-theory of G-manifolds
Mona Merling (University of Pennsylvania)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 04, 2022 Vector bundles for data alignment and dimensionality reduction
Jose Perea (Northeastern University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 04, 2022 Lecture (Remotely)
Sara Kalisnik (ETH Zürich)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 03, 2022 Ramification in Higher Algebra
John Berman (University of Massachusetts)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 03, 2022 Persistent homology and its fibre (Remotely)
Ulrike Tillmann (University of Oxford)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 03, 2022 Decomposition of topological Azumaya algebras in the stable range
Niny Arcila-Maya (Duke University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 03, 2022 Path induction and the indiscernibility of identicals
Emily Riehl (Johns Hopkins University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 03, 2022 Toward conjectures of Rognes and Church--Farb--Putman (Lecture Remotely)
Jenny Wilson (University of Michigan)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 02, 2022 Witness complexes and Lagrangian duality
Erik Carlsson (University of California, Davis)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 02, 2022 Persistent cup-length
Ling Zhou (The Ohio State University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 02, 2022 Tracking Topological Features Across Neural Stimulus Spaces
Chad Giusti (University of Delaware)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 02, 2022 Effective constructions in algebraic topology and topological data analysis
Anibal Medina-Mardones (Max Planck Institute for Mathematics)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 02, 2022 Motivic Euler characteristics and the Motivic Segal-Becker theorem (Remotely)
Roy Joshua (The Ohio State University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 01, 2022 Invertibility in Category Representations
Sanjeevi Krishnan (The Ohio State University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 01, 2022 Limits of Dense Simplicial Complexes
Santiago Segarra (Rice University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 01, 2022 Coarse coherence of metric spaces and groups
Boris Goldfarb (State University of New York - Albany)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 01, 2022 Homology crowding in configuration spaces of disks
Hannah Alpert (Auburn University)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 01, 2022 Braids and Hopf algebras
Craig Westerland (University of Minnesota, Twin Cities)
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
August 01, 2022 Topological explorations of neuron morphology
Kathryn Hess-Bellwald (École Polytechnique Fédérale de Lausanne (EPFL))
Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson
July 29, 2022 On the long-term regularity of water waves
Alexandru Ionescu (Princeton University)
2022 UMN Summer Workshop on Analysis of PDEs
July 29, 2022 Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities)
2022 UMN Summer Workshop on Analysis of PDEs
July 28, 2022 Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology)
2022 UMN Summer Workshop on Analysis of PDEs
July 28, 2022 On the long-term regularity of water waves
Alexandru Ionescu (Princeton University)
2022 UMN Summer Workshop on Analysis of PDEs
July 28, 2022 On the long-term regularity of water waves
Alexandru Ionescu (Princeton University)
2022 UMN Summer Workshop on Analysis of PDEs
July 28, 2022 Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University)
2022 UMN Summer Workshop on Analysis of PDEs
July 27, 2022 Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities)
2022 UMN Summer Workshop on Analysis of PDEs
July 27, 2022 1d scattering theory and its application to nonlinear dispersive equations
Gong Chen (Georgia Institute of Technology)
2022 UMN Summer Workshop on Analysis of PDEs
July 27, 2022 Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology)
2022 UMN Summer Workshop on Analysis of PDEs
July 27, 2022 Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University)
2022 UMN Summer Workshop on Analysis of PDEs
July 26, 2022 Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities)
2022 UMN Summer Workshop on Analysis of PDEs
July 26, 2022 1d scattering theory and its application to nonlinear dispersive equations
Gong Chen (Georgia Institute of Technology)
2022 UMN Summer Workshop on Analysis of PDEs
July 26, 2022 Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology)
2022 UMN Summer Workshop on Analysis of PDEs
July 26, 2022 Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University)
2022 UMN Summer Workshop on Analysis of PDEs
July 25, 2022 Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities)
2022 UMN Summer Workshop on Analysis of PDEs
July 25, 2022 1d scattering theory and its application to nonlinear dispersive equations
Gong Chen (Georgia Institute of Technology)
2022 UMN Summer Workshop on Analysis of PDEs
July 25, 2022 Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology)
2022 UMN Summer Workshop on Analysis of PDEs
July 25, 2022 Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University)
2022 UMN Summer Workshop on Analysis of PDEs
May 03, 2022 Free Boundary Problems on Lattices

Charles Smart (Yale University)

Data Science Seminar
April 29, 2022 Simplifying Federated Learning Jobs With Flame

Myungjin Lee (Cisco)

Industrial Problems Seminar
April 26, 2022 A Distributed Linear Solver via the Kaczmarz Algorithm

Eric Weber (Iowa State University)

Data Science Seminar
April 19, 2022 A Characteristics-based Approach to Computing Tukey Depths

Martin Molina-Fructuoso (North Carolina State University)

Data Science Seminar
April 12, 2022 How Well Can We Generalize Nonlinear Learning Models in High Dimensions??

Inbar Seroussi (Weizmann Institute of Science)

Data Science Seminar
April 08, 2022 Data Science in Business vs. Academia

Philippe Barbe (Paramount)

Industrial Problems Seminar
April 05, 2022 Method of Moments: From Sample Complexity to Efficient Implicit Computations
Joao Pereira (The University of Texas at Austin)
Data Science Seminar
April 01, 2022 Creating Value in PE Using Advanced Analytics

Erik Einset (Global Infrastructures Partners)

Industrial Problems Seminar
March 29, 2022 Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures

Larry Goldstein (University of Southern California)

Data Science Seminar
March 25, 2022 Multi-Agent Autonomy and Beyond: A Mathematician’s Life at GDMS

Ben Strasser (General Dynamics Mission Systems)

Industrial Problems Seminar
March 22, 2022 Using Artificial Intelligence to Model and Support the Management of Multimorbid Patients
Martin Michalowski (University of Minnesota, Twin Cities)
Data Science Seminar
March 18, 2022 Musings from a Computer Vision Career

Evan Ribnick (Reveal Technology)

Industrial Problems Seminar
March 15, 2022 Auto-differentiable Ensemble Kalman Filters

Daniel Sanz-Alonso (University of Chicago)

Data Science Seminar
March 01, 2022 On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems

Nicolas Garcia Trillos (University of Wisconsin, Madison)

Data Science Seminar
February 25, 2022 Data Science @ Meta
Zeinab Takbiri (Facebook)
Industrial Problems Seminar
February 22, 2022 Integrative Discriminant Analysis Methods for Multi-view Data

Sandra Safo (University of Minnesota, Twin Cities)

Data Science Seminar
February 18, 2022 Towards a Better Evaluation of Football Players

Eric Eager (ProFootballFocus (PFF))

Industrial Problems Seminar
February 15, 2022 Graph Clustering Dynamics: From Spectral to Mean Shift

Katy Craig (University of California, Santa Barbara)

Data Science Seminar
February 11, 2022 Best Practices A Data Scientist Should Know

Hande Tuzel (Sabre Corporation)

Industrial Problems Seminar
February 08, 2022 Decomposing Low-Rank Symmetric Tensors
Joe Kileel (The University of Texas at Austin)
Data Science Seminar
February 04, 2022 Data-Model Fusion to Predict the Impacts of Climate Change on Mosquito-borne Diseases

Carrie Manore (Los Alamos National Laboratory)

Industrial Problems Seminar
February 01, 2022 Stability and Generalization in Graph Convolutional Neural Networks

Ron Levie (Ludwig-Maximilians-Universität München)

Data Science Seminar
January 28, 2022 Pointers on AI/ML Career Success

Paritosh Desai (Google Inc.)

Industrial Problems Seminar

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