October 16, 2019 
Welcome Remarks 
Computational Imaging 
October 16, 2019 
Coherent Optical Processing with Machine Learning Charles Bouman (Purdue University) 
Computational Imaging 
October 16, 2019 
Faster Guaranteed GANbased recovery in Linear Inverse Problems Yoram Bresler (University of Illinois at UrbanaChampaign) 
Computational Imaging 
October 16, 2019 
Geometry of Convolutional Neural Networks for Computational Imaging Jong Chul Ye (Korea Advanced Institute of Science and Technology (KAIST)) 
Computational Imaging 
October 16, 2019 
Novel CT Data Acquisition and Processing Joseph Stayman (Johns Hopkins University) 
Computational Imaging 
October 16, 2019 
Machine Learning for Tomographic Imaging Ge Wang (Rensselaer Polytechnic Institute) 
Computational Imaging 
October 16, 2019 
Data and Image Domain Deep Learning for Tomographic Computational Imaging W. Clem Karl (Boston University) 
Computational Imaging 
October 17, 2019 
Welcome Remarks 
Computational Imaging 
October 17, 2019 
Three Short Stories About Image Denoising Mario Figueiredo (Instituto Superior Tecnico) 
Computational Imaging 
October 17, 2019 
Fourier Multispectral Imaging Keigo Hirakawa (University of Dayton) 
Computational Imaging 
October 17, 2019 
Modeling and removal of correlated noise using nonlocal patchbased collaborative filters, with applications to direct and inverse imaging Alessandro Foi (Tampere University of Technology) 
Computational Imaging 
October 17, 2019 
Computational Imaging: Beyond the limits imposed by lenses Ashok Veeraraghavan (Rice University) 
Computational Imaging 
October 17, 2019 
Computational Imaging: From structured lowrank methods to model based deep learning. Mathews Jacob (The University of Iowa) 
Computational Imaging 
October 17, 2019 
Rise of the machines (in MR image reconstruction) Florian Knoll (NYU Langone Medical Center) 
Computational Imaging 
October 18, 2019 
Welcome Remarks 
Computational Imaging 
October 18, 2019 
Computational Radar Imaging Mujdat Cetin (University of Rochester) 
Computational Imaging 
October 18, 2019 
Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics II Tim Bodin (Cargill, Inc.) 
Industrial Problems Seminar 
October 18, 2019 
Challenges and Opportunities in Magnetic Resonance Fingerprinting Nicole Seiberlich (University of Michigan) 
Computational Imaging 
October 18, 2019 
Q&A/Closing Remarks Brendt Wohlberg (Los Alamos National Laboratory) 
Computational Imaging 
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 
October 25, 2019 
Gamma Guidance  The Mathematics Applied to a Launch Vehicle Gary Green (The Aerospace Corporation) 
Industrial Problems Seminar 
October 29, 2019 
Highly Likely Clusterable Data With No Cluster Mimi Boutin (Purdue 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 
November 12, 2019 
Latent Factor Models for Largescale Data Xiaoou Li (University of Minnesota, Twin Cities) 
Data Science Seminar 
November 15, 2019 
Pipelines, Graphs, and the Language of Shopping: Architecting Next Gen Machine Learning Capabilities for Retail Jonah White (Best Buy) 
Industrial Problems Seminar 
November 19, 2019 
Robust Representation for Graph Data Dongmian Zou (University of Minnesota, Twin Cities) 
Data Science Seminar 
November 22, 2019 
Machine Learning Problems at Target Mauricio Flores (Target Corporation) 
Industrial Problems Seminar 
November 26, 2019 
Information Flow and Security Aspects in 121 Networks Martina Cardone (University of Minnesota, Twin Cities) 
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 
December 06, 2019 
Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data Arnoldo Frigessi (Oslo University Hospital) 
Data Science Seminar 
January 21, 2020 
Linear Unbalanced Optimal Transport Matthew Thorpe (University of Cambridge) 
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 
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 
February 03, 2020 
On the Final Frontiers in Computational Mathematics Anders Hansen (University of Cambridge (Cambridge, GB)) 
IMA Prize Lecture 
February 04, 2020 
Different Aspects of Registration Problem Yuehaw Khoo (University of Chicago) 
Data Science Seminar 
February 11, 2020 
Function Space MetropolisHastings Algorithms with NonGaussian Priors Bamdad Hosseini (California Institute of Technology) 
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 
February 21, 2020 
Profiles of Math Careers in the Industry Martin Lacasse (ExxonMobil) 
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 28, 2020 
Some Characteristics of Research in Finance Onur Ozyesil (Helm.ai) 
Industrial Problems Seminar 
March 03, 2020 
“Living” 3D World Models Leveraging Crowd Sourced Data JanMichael Frahm (Facebook) 
Data Science Seminar 
March 19, 2020 
CANCELEDCoding and Generative Design for 3D Printing
Laura Taalman (James Madison University)

Public Lecture SeriesCANCELED 
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 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 
Wrapup Discussion 
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 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 
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 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 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 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 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 
Lecture Bruno Sinopoli (Washington University in St. Louis) 
Postponed: The 9th Midwest Control and Game Theory Workshop 
May 19, 2020 
Transmission Dynamics of Influenza and SARSCoV2: Environmental Determinants, Inference and Forecast Jeffrey Shaman (Columbia University) 
Data Science Seminar 
May 22, 2020 
AI for COVID19: An Online Virtual Care Approach Xavier Amatriain (Curai) 
Industrial Problems Seminar 
June 09, 2020 
Data and Models for COVID19 DecisionMaking Forrest Crawford (Yale University) 
Data Science Seminar 
June 23, 2020 
Computational Science for COVID19 Pandemic Planning and Response Madhav Marathe (University of Virginia) 
Data Science 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 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 14, 2020 
Student Discussion: Grad School Life 
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 
August 04, 2020 
A Network Science Approach for Controlling Epidemic Outbreaks Anil Vullikanti (University of Virginia) 
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 
September 08, 2020 
Does Deep Learning Solve the Phase Retrieval Problem? Ju Sun (University of Minnesota, Twin Cities) 
Data Science Seminar 
September 11, 2020 
Flying High with Math Sharon Arroyo (The Boeing Company), Shabnam Khamooshi (The Boeing Company) 
Industrial Problems Seminar 
September 14, 2020 
A Selfavoiding Approximate Mean Curvature Flow Simon Masnou (Université ClaudeBernard (Lyon I)) 
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 
Reducibility and StatisticalComputational Gaps from Secret Leakage Guy Bresler (Massachusetts 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 15, 2020 
Using Continuum Limits To Understand Data Clustering And Classification Franca Hoffmann (California Institute of Technology) 
Theory and Algorithms in Graphbased Learning 
September 15, 2020 
Graph Structure of Neural Networks Jure Leskovec (Stanford University) 
Theory and Algorithms in Graphbased Learning 