Campuses:

Talks

Date Title / Speaker Event
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
January 25, 2022 Intelligent Randomized Algorithms for the Low CP-Rank Tensor Approximation Problem

Alex Gittens (Rensselaer Polytechnic Institute)

Data Science Seminar
December 14, 2021 New Methods for Disease Prediction using Imaging and Genomics

Eran Halperin (UnitedHealth Group)

Data Science Seminar
December 10, 2021 From Perception to Understanding: The Third Wave of AI

Tetiana Grinberg (Intel Corporation)

Industrial Problems Seminar
December 03, 2021 Licensed to Analyze? An In-Depth Look at the Data Science Career: Defining Roles, Assessing Skills
Hamit Hamutcu (Initiative for Analytics and Data Science Standards (IADSS))
Industrial Problems Seminar
November 23, 2021 The Scattering Transform for Texture Synthesis and Molecular Generation
Michael Perlmutter (University of California, Los Angeles)
Data Science Seminar
November 19, 2021 Certified Robustness against Adversarial Attacks in Image Classification

Fatemeh Sheikholeslami (Bosch Center for Artificial Intelligence)

Industrial Problems Seminar
November 12, 2021 Lessons Learned in Deploying AI in Manufacturing

Eric Wespi (Boston Scientific)

Industrial Problems Seminar
November 09, 2021 Non-Parametric Estimation of Manifolds from Noisy Data

Yariv Aizenbud (Yale University)

Data Science Seminar
November 05, 2021 Data Science @ Instacart

Jeffrey Moulton (Instacart)

Industrial Problems Seminar
October 29, 2021 Challenges in Building Intelligent Search Systems

Jiguang Shen (Microsoft Research)

Industrial Problems Seminar
October 22, 2021 Predicting Tomorrow: Industrial Forecasting at Scale

Jimmy Broomfield (Target Corporation)

Industrial Problems Seminar
October 19, 2021 Data depths meet Hamilton-Jacobi equations

Ryan Murray (North Carolina State University)

Data Science Seminar
October 15, 2021 Data Scientists under attack!! Let's help them together

Sharath Dhamodaran (OptumLabs)

Industrial Problems Seminar
October 12, 2021 Organizational Collaboration with Assisted Learning

Jie Ding (University of Minnesota, Twin Cities)

Data Science Seminar
October 08, 2021 Research and Opportunities in the Mathematical Sciences at Oak Ridge National Laboratory

Juan Restrepo (Oregon State University)

Industrial Problems Seminar
October 05, 2021 Scalable and Sample-Efficient Active Learning for Graph-Based Classification

Kevin Miller (University of California, Los Angeles)

Data Science Seminar
October 01, 2021 Long-term Time Series Forecasting and Data Generated by Complex Systems
Kaisa Taipale (CH Robinson)
Industrial Problems Seminar
September 28, 2021 Standardizing the Spectra of Count Data Matrices by Diagonal Scaling

Boris Landa (Yale University)

Data Science Seminar
September 21, 2021 Handling model uncertainties via informative Goodness-of-Fit

Sara Algeri (University of Minnesota, Twin Cities)

Data Science Seminar
September 17, 2021 SIAM Internship Panel
Montie Avery (University of Minnesota, Twin Cities)
Industrial Problems Seminar
September 14, 2021 PDE-inspired Methods for Graph-based Semi-supervised Learning
Jeff Calder (University of Minnesota, Twin Cities)
Data Science Seminar
September 10, 2021 Being Smart and Dumb: Building the Sports Analytics Industry

Dean Oliver ( NBA's Washington Wizards)

Industrial Problems Seminar
May 18, 2021 Measuring the Happiness, Health, & Stories of Society through the Sociotechnical Dynamics of Social Media and Fiction
Chris Danforth (University of Vermont)
Data Science Seminar
May 04, 2021 Order in Disorder: Modeling the Crumpling Dynamics of Thin Sheets
Jovana Andrejevic (Harvard University)
Data Science Seminar
April 27, 2021 Polynomial Time Guarantees for the Burer-Monteiro Method
Diego Cifuentes (Massachusetts Institute of Technology)
Data Science Seminar
April 23, 2021 Finding Effective Spreaders for Fast Communication in Small and Large Networks
Fern Hunt (National Institute of Standards and Technology)
Industrial Problems Seminar
April 20, 2021 Machine Learning Techniques for High-Dimensional Optimal Transport
Lars Ruthotto (Emory University)
Data Science Seminar
April 13, 2021 Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Elizaveta Rebrova (University of California, Los Angeles)
Data Science Seminar
April 06, 2021 The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants
Ido Kaminer (Technion-Israel Institute of Technology)
Data Science Seminar
March 30, 2021 Deep Networks and the Multiple Manifold Problem
John Wright (Columbia University)
Data Science Seminar
March 26, 2021 Law - Math = Injustice: A Story of Conflict
Eric Ben-Artzi (Gannuity)
Industrial Problems Seminar
March 23, 2021 Adapting the Metropolis Algorithm
Jeffrey Rosenthal (University of Toronto)
Data Science Seminar
March 19, 2021 The Engineering of Data Science & The Science of Data Engineering
Daniel Kaslovsky (Automox)
Industrial Problems Seminar
March 16, 2021 Consistent Sparse Deep Learning: Theory and Computation
Faming Liang (Purdue University)
Data Science Seminar
March 02, 2021 Coordinate Methods for Solving Eigenvalue Problems in High Dimensions
Jianfeng Lu (Duke University)
Data Science Seminar
February 26, 2021 Data Science at The New York Times
Chris Wiggins (Columbia University)
Industrial Problems Seminar
February 23, 2021 Ultrametric Gromov-Hausdorff and Gromov-Wasserstein Distances
Facundo Mémoli (The Ohio State University)
Data Science Seminar
February 19, 2021 Cyber Security: A New Front for Computational Science and Engineering
Ali Pinar (Sandia National Laboratories)
Industrial Problems Seminar
February 16, 2021 Learning the Manifold of Molecular Structures in Cryo-EM
Joakim Anden (Royal Institute of Technology (KTH))
Data Science Seminar
February 12, 2021 Discovering Genetic Networks Using Compressive Sensing
Matthew Herman (Fourier Genetics)
Industrial Problems Seminar
February 09, 2021 Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University)
Public Lecture Series
February 09, 2021 Using Telco Data to Fight Epidemics
Kenth Monsen (Telenor Research)
Data Science Seminar
February 05, 2021 Manufacturing Pitfalls to Avoid in Commercialization
Angelique Johnson (MEMStim LLC)
Industrial Problems Seminar
February 02, 2021 Regression of Functions on Low-dimensional Manifolds by Neural Networks
Wenjing Liao (Georgia Institute of Technology)
Data Science Seminar
January 29, 2021 Contemporary Problems in Market Risk Modeling
Hany Farag (Canadian Imperial Bank of Commerce (CIBC))
Industrial Problems Seminar
January 26, 2021 An Optimal Transport Perspective on Uncertainty Propagation
Amir Sagiv (Columbia University)
Data Science Seminar
January 22, 2021 The Rise of the Vector Database
Edo Liberty (Pinecone)
Industrial Problems Seminar
January 19, 2021 Quantum Compiler for Classical Dynamical Systems
Dimitris Giannakis (Courant Institute of Mathematical Sciences)
Data Science Seminar
January 12, 2021 What We Talk About When We Talk About Math
Lillian Pierce (Duke University)
Public Lecture Series
December 15, 2020 Estimation of Manifolds from Point Clouds: Building Models from Data
Barak Sober (Duke University)
Data Science Seminar
December 11, 2020 COVID Modeling: Testing Scenarios and Geographical Networks
Natalie Sheils (UnitedHealth Group)
Industrial Problems Seminar
December 08, 2020 Understanding Convolutional Neural Networks Through Signal Processing
Matthew Hirn (Michigan State University)
Data Science Seminar
December 04, 2020 Digital Health Technology for Heart Failure Diagnostic Monitoring
Julie Thompson (Boston Scientific)
Industrial Problems Seminar
December 01, 2020 Filter-decomposed Convolution in Deep Neural Networks: On Groups, Graphs, and Across Domains
Xiuyuan Cheng (Duke University)
Data Science Seminar
November 24, 2020 Multiway Tensor Analysis with Neuroscience Applications
Gal Mishne (University of California, San Diego)
Data Science Seminar
November 17, 2020 Fast Statistical and Geometric Distances Between Families of Distributions
Alexander Cloninger (University of California, San Diego)
Data Science Seminar
November 13, 2020 The Evolution of Basketball with Data Science
Ivana Seric (Philadelphia 76ers)
Industrial Problems Seminar
November 13, 2020 Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
Katy Craig (University of California, Santa Barbara)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Information in Mean Field Control
Aaron Palmer (University of British Columbia)
Optimal Control, Optimal Transport, and Data Science

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