November 13, 2020 
The Evolution of Basketball with Data Science Ivana Seric (Philadelphia 76ers) 
Industrial Problems Seminar 
September 25, 2020 
The Technical and Organizational Challenges of Data Science Catherine (Katy) Micek (3M) 
Industrial Problems Seminar 
July 13, 2020 
Student and Mentor Activities Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer), Nicole Joseph (Vanderbilt University) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
July 14, 2020 
Introduction Activity William Vélez (University of Arizona) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
July 14, 2020 
Finding and Solving My Problem – A Conversation with Dr. Adrian Coles Adrian Coles (Eli Lilly and Company) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
July 14, 2020 
Panel Discussion 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
July 14, 2020 
Mentor Discussion: Effective Mentoring Skills 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
July 15, 2020 
Interview with Dr. Pamela E. Harris Pamela Harris (Williams College) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
July 14, 2020 
Student Discussion: Grad School Life 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
July 13, 2020 
Student and Mentor Activities Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer), Nicole Joseph (Vanderbilt University) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
February 03, 2020 
On the Final Frontiers in Computational Mathematics Anders Hansen (University of Cambridge (Cambridge, GB)) 
IMA Prize Lecture 
April 26, 2020 
On the Role of Wellposedness in Homotopy Methods for the Stability Analysis of Nonlinear Feedback Systems Randy Freeman (Northwestern University) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Developments in Computational Approaches for Model Predictive Control Ilya Kolmanovsky (University of Michigan) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 26, 2020 
Lecture Bruno Sinopoli (Washington University in St. Louis) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Lecture Vijay Gupta (University of Notre Dame) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Control Synthesis under Spatiotemporal Specifications Dimitra Panagou (University of Michigan) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Lecture Cedric Langbort (University of Illinois at UrbanaChampaign) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Security Games with Additive Utilities Sourabh Bhattacharya (Iowa State University) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Incentivizing Collaboration in Heterogeneous Teams via CommonPool Resource Games Vaibhav Srivastava (Michigan State University) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Strategic Political Communication Across Channels: Theory and Data Sanmay Das (Washington University in St. Louis) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Design of Information Sharing Mechanisms in Markets and Service Systems Krishnamurthy Iyer (University of Minnesota, Twin Cities) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Dashboard Mechanisms for Online Marketplaces Jason Hartline (Northwestern University) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Lecture David Rahman (University of Minnesota, Twin Cities) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 25, 2020 
Longterm Fairness Implications of AIdriven Decision Making in Competitive Markets Parinaz Ardabili (The Ohio State University) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 26, 2020 
Markov Decision Processes and Sparse Linear Regression: A Combinatorial Optimization Viewpoint Srinivasa Salapaka (University of Illinois at UrbanaChampaign) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 26, 2020 
Vulnerability and Robustness of Deep Reinforcement Learning Agents Soumik Sarkar (Iowa State University) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 26, 2020 
Bridging Modelbased Robust Control and Modelfree Reinforcement Learning Bin Hu (University of Illinois at UrbanaChampaign) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 26, 2020 
Autonomous and Resilient Control of Dynamical Systems Using Reinforcement Learning Bahare Kiumarsi (Michigan State University) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 26, 2020 
Using Parallel Computing Insights to Design and Analyze Control Architectures Victor Zavala (University of Wisconsin, Madison) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
April 07, 2020 
Lecture Kaylee Schwertfeger (University of Minnesota, Twin Cities) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Developing experimental and mathematical models to measure changes in tumor associate macrophage polarization in response to immunotherapy Elizabeth Wayne (Carnegie Mellon University) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Microenvironmental barriers to immune effector cell infiltration and activity in PDA Rolf Brekken (UT Southwestern Medical Center) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Lecture Eugene Koay (University of Texas M. D. Anderson Cancer Center) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Wrapup Discussion 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 08, 2020 
A New Mouse Model Provides Insight Into the Ductal Cell Origin and Microenvironment of Human PDAC Daniel Billadeau (Mayo Clinic) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 08, 2020 
Lecture Paul Macklin (Indiana University) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 08, 2020 
Moving Engineered Organotypic Models Towards the Clinic David Beebe (University of Wisconsin, Madison) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Opening Remarks and Barriers to Progress Paolo Provenzano (University of Minnesota, Twin Cities) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Countering Exhaustion in T Cell Immunotherapy Lance Kam (Columbia University) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Experimental and Computational Approaches to Study Heterogeneity in Dormancy Induction Samira Azarin (University of Minnesota, Twin Cities) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Lecture W. Gregory Sawyer (University of Florida) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Enhancing T Cell Migration through Structurally and Mechanically Complex Tumor Microenvironments Paolo Provenzano (University of Minnesota, Twin Cities) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Lecture Alexander Anderson (Moffitt Cancer Center) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Model systems toward understanding metastasis and overcoming drug resistance of breast cancer Shelly Peyton (University of Massachusetts) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Lecture Edna Cukierman (Fox Chase Cancer Center) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Wrapup Discussion 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
TumorMatrix Interactions in Early Ductal Invasions: integrating histology, mechanobiology and computational modeling Katarzyna (Kasia) Rejniak (Moffitt Cancer Center) 
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
November 09, 2020 
Learned Adversarial Regularisers Carola Schoenlieb (University of Cambridge (Cambridge, GB)) 
Optimal Control, Optimal Transport, and Data Science 
November 09, 2020 
Graphical Optimal Transport Yongxin Chen (Georgia Institute of Technology) 
Optimal Control, Optimal Transport, and Data Science 
November 10, 2020 
On The Convergence of MMD GANs: A Theory via Parametric Kernelized Gradient Flows Youssef Mroueh (IBM) 
Optimal Control, Optimal Transport, and Data Science 
November 10, 2020 
Mathematical Approaches to Deep Learning: Model Uncertainty, Robustness and Regularization Adam Oberman (McGill University) 
Optimal Control, Optimal Transport, and Data Science 
November 11, 2020 
Streaming Computation of Optimal Weak Transport Barycenters Elsa Cazelles (Institut de Recherche en Informatique de Toulouse) 
Optimal Control, Optimal Transport, and Data Science 
November 10, 2020 
A PDE Interpretation of Prediction with Expert Advice Nadejda Drenska (University of Minnesota, Twin Cities) 
Optimal Control, Optimal Transport, and Data Science 
November 10, 2020 
Deep Learning and Optimal Control Weinan E (Princeton University) 
Optimal Control, Optimal Transport, and Data Science 
November 11, 2020 
Optimal Control of Fluid Transport Networks Anatoly Zlotnik (Los Alamos National Laboratory) 
Optimal Control, Optimal Transport, and Data Science 
November 11, 2020 
Active Learning and Optimal Experimental Design Eldad Haber (University of British Columbia) 
Optimal Control, Optimal Transport, and Data Science 
November 11, 2020 
A Fast Approach to Optimal Transport: The Backandforth Method Matthew Jacobs (University of California, Los Angeles) 
Optimal Control, Optimal Transport, and Data Science 
November 12, 2020 
Wasserstein Control of Mirror Langevin Monte Carlo Kelvin Shuangjian Zhang (École Normale Supérieure) 
Optimal Control, Optimal Transport, and Data Science 
November 12, 2020 
Stochastic Methods for Optimal Transport in Machine Learning Applications Aude Genevay (Massachusetts Institute of Technology) 
Optimal Control, Optimal Transport, and Data Science 
November 12, 2020 
Prediction with Expert Advice: A PDE Perspective on a Model Problem from Online Machine Learning Robert Kohn (New York University) 
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 
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 09, 2020 
Summarizing and Analyzing Data using Optimal Transport Justin Solomon (Massachusetts Institute of Technology) 
Optimal Control, Optimal Transport, and Data Science 
November 09, 2020 
The Quadratic Wasserstein Metric for Inverse Data Matching Problems Yunan Yang (New York University) 
Optimal Control, Optimal Transport, and Data Science 
September 15, 2020 
On Anisotropic Diffusion Equations for Label Propagation LisaMaria Kreusser (University of Cambridge) 
Theory and Algorithms in Graphbased Learning 
September 16, 2020 
When Labelling Hurts: Learning to Classify LargeScale Data with Minimal Supervision Angelica AvilesRivero (University of Cambridge) 
Theory and Algorithms in Graphbased Learning 
September 16, 2020 
BiasVariance Tradeoffs in Joint Spectral Embeddings Daniel Sussman (Boston University) 
Theory and Algorithms in Graphbased Learning 
September 16, 2020 
Computational Complexity and Forbidden Graph Patterns Puck Rombach (University of Vermont) 
Theory and Algorithms in Graphbased Learning 
September 17, 2020 
LInfinity Variational Problems on Graphs: Applications and Continuum Limits Leon Bungert (FriedrichAlexanderUniversität ErlangenNürnberg), Tim Roith (FriedrichAlexanderUniversität ErlangenNürnberg) 
Theory and Algorithms in Graphbased Learning 
September 17, 2020 
Vertex Nomination, Consistent Estimation, and Adversarial Modification Vince Lyzinski (University of Maryland) 
Theory and Algorithms in Graphbased Learning 
September 17, 2020 
Community Detection Using Total Variation and Surface Tension Zach Boyd (University of North Carolina, Chapel Hill) 
Theory and Algorithms in Graphbased Learning 
September 14, 2020 
A Fast GraphBased Data Classification Method with Applications to 3D Sensory Data in the Form of Point Clouds Ekaterina Rapinchuk (Michigan State University) 
Theory and Algorithms in Graphbased Learning 
September 15, 2020 
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization Yifei Lou (University of Texas at Dallas) 
Theory and Algorithms in Graphbased Learning 
September 17, 2020 
On Wasserstein Gradient Flows and the Search of Neural Network Architectures Nicolas Garcia Trillos (University of Wisconsin, Madison) 
Theory and Algorithms in Graphbased Learning 
September 18, 2020 
Learning Restricted Boltzmann Machines Ankur Moitra (Massachusetts Institute of Technology) 
Theory and Algorithms in Graphbased Learning 
September 18, 2020 
Learning Discrete Graphical Models: Exact & Neural Network Assisted Methods Marc Vuffray (Los Alamos National Laboratory) 
Theory and Algorithms in Graphbased Learning 
September 14, 2020 
A Selfavoiding Approximate Mean Curvature Flow Simon Masnou (Université ClaudeBernard (Lyon I)) 
Theory and Algorithms in Graphbased Learning 
September 14, 2020 
Reducibility and StatisticalComputational Gaps from Secret Leakage Guy Bresler (Massachusetts Institute of Technology) 
Theory and Algorithms in Graphbased Learning 
September 14, 2020 
Robust Group Synchronization via CycleEdge Message Passing Gilad Lerman (University of Minnesota, Twin Cities) 
Theory and Algorithms in Graphbased Learning 
September 15, 2020 
Using Continuum Limits To Understand Data Clustering And Classification Franca Hoffmann (California Institute of Technology) 
Theory and Algorithms in Graphbased Learning 
September 18, 2020 
Learning IllConditioned Gaussian Graphical Models Raghu Meka (University of California, Los Angeles) 
Theory and Algorithms in Graphbased Learning 
September 15, 2020 
Graph Structure of Neural Networks Jure Leskovec (Stanford University) 
Theory and Algorithms in Graphbased Learning 
February 04, 2020 
Different Aspects of Registration Problem Yuehaw Khoo (University of Chicago) 
Data Science Seminar 
November 26, 2019 
Information Flow and Security Aspects in 121 Networks Martina Cardone (University of Minnesota, Twin Cities) 
Data Science Seminar 
December 06, 2019 
Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data Arnoldo Frigessi (Oslo University Hospital) 
Data Science Seminar 
November 12, 2019 
Latent Factor Models for Largescale Data Xiaoou Li (University of Minnesota, Twin Cities) 
Data Science Seminar 
May 19, 2020 
Transmission Dynamics of Influenza and SARSCoV2: Environmental Determinants, Inference and Forecast Jeffrey Shaman (Columbia University) 
Data Science Seminar 
November 05, 2019 
Topics in Sparse Recovery via Constrained Optimization: Least Sparsity, Solution Uniqueness, and Constrained Exact Recovery Seyedahmad Mousavi (University of Minnesota, Twin Cities) 
Data Science Seminar 
September 17, 2019 
Optimal Recovery under Approximability Models, with Applications Simon Foucart (Texas A & M University) 
Data Science Seminar 
September 10, 2019 
Taming Nonconvexity: From Smooth to Nonsmooth Problems and Beyond Ju Sun (University of Minnesota, Twin Cities) 
Data Science Seminar 
June 09, 2020 
Data and Models for COVID19 DecisionMaking Forrest Crawford (Yale University) 
Data Science Seminar 
August 04, 2020 
A Network Science Approach for Controlling Epidemic Outbreaks Anil Vullikanti (University of Virginia) 
Data Science Seminar 
June 23, 2020 
Computational Science for COVID19 Pandemic Planning and Response Madhav Marathe (University of Virginia) 
Data Science Seminar 
March 03, 2020 
“Living” 3D World Models Leveraging Crowd Sourced Data JanMichael Frahm (Facebook) 
Data Science Seminar 
October 29, 2019 
Highly Likely Clusterable Data With No Cluster Mimi Boutin (Purdue University) 
Data Science Seminar 
October 01, 2019 
Citizen Science and Machine Learning at Zooniverse Darryl Wright (University of Minnesota, Twin Cities) 
Data Science Seminar 
October 22, 2019 
Convergence Rates and Semiconvexity Estimates for the Continuum Limit of Nondominated Sorting Brendan Cook (University of Minnesota, Twin Cities) 
Data Science Seminar 
January 21, 2020 
Linear Unbalanced Optimal Transport Matthew Thorpe (University of Cambridge) 
Data Science Seminar 
February 18, 2020 
From Clustering with Graph Cuts to Isoperimetric Inequalities: Quantitative Convergence Rates of Cheeger Cuts on Data Clouds Nicolas Garcia Trillos (University of Wisconsin, Madison) 
Data Science Seminar 
January 28, 2020 
SEMINAR IS CANCELED  Machine Learning Meets Societal Values
Steven Wu (University of Minnesota, Twin Cities)  SEMINAR IS CANCELED

Data Science Seminar 