November 06, 2020 
Guided Conversation 1: Best Practices for Mentoring Undergraduate Students (faculty) William Vélez (University of Arizona) 
2020 Field of Dreams Conference 
November 06, 2020 
Panel 2: Maximizing Productivity in Graduate School (graduate students) Ayo Adeniran (Pomona College), Syvillia Averett (College of Coastal Georgia), Julianne Vega (Kennesaw State College) 
2020 Field of Dreams Conference 
November 06, 2020 
Panel 1: The Value of Undergraduate Research Experiences (undergraduate students) Alexander Barrios (Carleton College), Melissa Gonzalez (Occidental College), Zsuzsanna Szaniszlo (Valparaiso University) 
2020 Field of Dreams Conference 
November 06, 2020 
Welcome Remarks 
2020 Field of Dreams Conference 
November 03, 2020 
Machine Learning Methods for Solving Highdimensional Meanfield Game Systems Levon Nurbekyan (University of California, Los Angeles) 
Data Science Seminar 
October 30, 2020 
Estimating the Impact of Travel, Rest, and Playing at Home in the National Football League Tom Bliss (National Football League (NFL)) 
Industrial Problems Seminar 
October 27, 2020 
Clustering Highdimensional Data with Path Metrics: A Balance of Density and Geometry Anna Little (The University of Utah) 
Data Science Seminar 
October 23, 2020 
An Introduction to Image Compression, Old and New Chris Finlay (Deep Render) 
Industrial Problems Seminar 
October 20, 2020 
How COVID19 has Changed the World and What the Future Holds Michael Osterholm (University of Minnesota, Twin Cities) 
Data Science Seminar 
October 16, 2020 
Systems Modeling in Biopharma Helen Moore (Applied BioMath) 
Industrial Problems Seminar 
October 13, 2020 
Geometric Methods in Statistics, Optimization, and Sampling Tyler Maunu (Massachusetts Institute of Technology) 
Data Science Seminar 
October 06, 2020 
LargeScale Semisupervised Learning via Graph Structure Learning over Highdense Points Li Wang (University of Texas at Arlington) 
Data Science Seminar 
October 02, 2020 
Combinatorial Algorithms for National Security Cynthia Phillips (Sandia National Laboratories) 
Industrial Problems Seminar 
September 29, 2020 
MultiPerspective, Simultaneous Embedding and Theoretically Guaranteed Projected Power Method for the Multiway Matching Problem Vahan Huroyan (University of Arizona) 
Data Science Seminar 
September 25, 2020 
The Technical and Organizational Challenges of Data Science Catherine (Katy) Micek (3M) 
Industrial Problems Seminar 
September 22, 2020 
Matrix Denoising with Weighted Loss William Leeb (University of Minnesota, Twin Cities) 
Data Science Seminar 
September 18, 2020 
SIAM Internship Panel Montie Avery (University of Minnesota, Twin Cities) 
Industrial Problems Seminar 
September 18, 2020 
Learning IllConditioned Gaussian Graphical Models Raghu Meka (University of California, Los Angeles) 
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 18, 2020 
Learning Restricted Boltzmann Machines Ankur Moitra (Massachusetts Institute of Technology) 
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 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 17, 2020 
Vertex Nomination, Consistent Estimation, and Adversarial Modification Vince Lyzinski (University of Maryland) 
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 16, 2020 
Computational Complexity and Forbidden Graph Patterns Puck Rombach (University of Vermont) 
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 
When Labelling Hurts: Learning to Classify LargeScale Data with Minimal Supervision Angelica AvilesRivero (University of Cambridge) 
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 15, 2020 
On Anisotropic Diffusion Equations for Label Propagation LisaMaria Kreusser (University of Cambridge) 
Theory and Algorithms in Graphbased Learning 
September 15, 2020 
Graph Structure of Neural Networks Jure Leskovec (Stanford University) 
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 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 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 14, 2020 
A Selfavoiding Approximate Mean Curvature Flow Simon Masnou (Université ClaudeBernard (Lyon I)) 
Theory and Algorithms in Graphbased Learning 
September 11, 2020 
Flying High with Math Sharon Arroyo (The Boeing Company), Shabnam Khamooshi (The Boeing Company) 
Industrial Problems Seminar 
September 08, 2020 
Does Deep Learning Solve the Phase Retrieval Problem? Ju Sun (University of Minnesota, Twin Cities) 
Data Science Seminar 
August 18, 2020 
Fairness, Accountability, and Transparency: (Counter)Examples from Predictive Models in Criminal Justice Kristian Lum (University of Pennsylvania) 
Data Science Seminar 
August 04, 2020 
A Network Science Approach for Controlling Epidemic Outbreaks Anil Vullikanti (University of Virginia) 
Data Science Seminar 
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 14, 2020 
Mentor Discussion: Effective Mentoring Skills 
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 
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 
Introduction Activity William Vélez (University of Arizona) 
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 
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 
June 23, 2020 
Computational Science for COVID19 Pandemic Planning and Response Madhav Marathe (University of Virginia) 
Data Science Seminar 
June 09, 2020 
Data and Models for COVID19 DecisionMaking Forrest Crawford (Yale University) 
Data Science Seminar 
May 22, 2020 
AI for COVID19: An Online Virtual Care Approach Xavier Amatriain (Curai) 
Industrial Problems Seminar 
May 19, 2020 
Transmission Dynamics of Influenza and SARSCoV2: Environmental Determinants, Inference and Forecast Jeffrey Shaman (Columbia University) 
Data Science Seminar 
April 26, 2020 
Lecture Bruno Sinopoli (Washington University in St. Louis) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
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 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 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 
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 
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 
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 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 25, 2020 
Lecture David Rahman (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 
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 
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 
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 
Security Games with Additive Utilities Sourabh Bhattacharya (Iowa State University) 
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 
Control Synthesis under Spatiotemporal Specifications Dimitra Panagou (University of Michigan) 
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 
Developments in Computational Approaches for Model Predictive Control Ilya Kolmanovsky (University of Michigan) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
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 08, 2020 
Lecture Paul Macklin (Indiana University) 
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 07, 2020 
Wrapup Discussion 
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 
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 
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 
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 
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 
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 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 
Wrapup Discussion 
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 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 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 
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 
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 
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 
March 03, 2020 
“Living” 3D World Models Leveraging Crowd Sourced Data JanMichael Frahm (Facebook) 
Data Science Seminar 
February 28, 2020 
Some Characteristics of Research in Finance Onur Ozyesil (Helm.ai) 
Industrial Problems Seminar 
February 25, 2020 
Making Small Spaces Feel Large: Practical Illusions in Virtual Reality Evan Rosenberg (University of Minnesota, Twin Cities) 
Data Science Seminar 
February 21, 2020 
Profiles of Math Careers in the Industry Martin Lacasse (ExxonMobil) 
Industrial Problems 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 
February 11, 2020 
Function Space MetropolisHastings Algorithms with NonGaussian Priors Bamdad Hosseini (California Institute of Technology) 
Data Science Seminar 
February 04, 2020 
Different Aspects of Registration Problem Yuehaw Khoo (University of Chicago) 
Data Science Seminar 
February 03, 2020 
On the Final Frontiers in Computational Mathematics Anders Hansen (University of Cambridge (Cambridge, GB)) 
IMA Prize Lecture 
January 31, 2020 
How NextEra Analytics Applies Math to Problems in Coupled Renewable and Energy Storage Systems Madeline Handschy (NextEra Analytics Inc) 
Industrial Problems 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 
January 21, 2020 
Linear Unbalanced Optimal Transport Matthew Thorpe (University of Cambridge) 
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 
December 03, 2019 
Exploiting Group and Geometric Structures for Massive Data Analysis Zhizhen (Jane) Zhao (University of Illinois at UrbanaChampaign) 
Data Science Seminar 