February 03, 2020 
On the Final Frontiers in Computational Mathematics Anders Hansen (University of Cambridge (Cambridge, GB)) 
IMA Prize Lecture 
March 19, 2020 
Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University)

Public Lecture Series 
April 07, 2020 
Lecture Edna Cukierman (Fox Chase Cancer Center) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Wrapup Discussion 
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) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Lecture Kaylee Schwertfeger (University of Minnesota, Twin Cities) 
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) 
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) 
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) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Wrapup Discussion 
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) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 08, 2020 
Lecture Paul Macklin (Indiana University) 
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) 
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) 
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) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Lecture Samira Azarin (University of Minnesota, Twin Cities) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Lecture W. Gregory Sawyer (University of Florida) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 06, 2020 
Lecture Paolo Provenzano (University of Minnesota, Twin Cities) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 07, 2020 
Lecture Alexander Anderson (Moffitt Cancer Center) 
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) 
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment 
April 28, 2020 
Detecting New Signals Under Background Mismodeling Sara Algeri (University of Minnesota, Twin Cities) 
Data Science Seminar 
February 25, 2020 
Making Small Spaces Feel Large: Practical Illusions in Virtual Reality Evan Rosenberg (University of Minnesota, Twin Cities) 
Data Science Seminar 
March 03, 2020 
“Living” 3D World Models Leveraging Crowd Sourced Data JanMichael Frahm (Facebook) 
Data Science Seminar 
October 08, 2019 
Parallel Transport Convolutional Neural Networks on Manifolds Rongjie Lai (Rensselaer Polytechnic Institute) 
Data Science Seminar 
May 05, 2020 
Lecture Svetlana Lazebnik (University of Illinois at UrbanaChampaign) 
Data Science Seminar 
September 24, 2019 
The Geometry of Ambiguity in Onedimensional Phase Retrieval Dan Edidin (University of Missouri) 
Data Science Seminar 
April 21, 2020 
Lecture Naoki Saito (University of California, Davis) 
Data Science Seminar 
September 03, 2019 
Where and What to Look: Learning to Understand the Visual World in Autistic Brains Catherine Zhao (University of Minnesota, Twin Cities) 
Data Science Seminar 
April 14, 2020 
Lecture Ekaterina Rapinchuk (Michigan State University) 
Data Science Seminar 
February 11, 2020 
Function Space MetropolisHastings Algorithms with NonGaussian Priors Bamdad Hosseini (California Institute of Technology) 
Data Science Seminar 
October 29, 2019 
Highly Likely Clusterable Data With No Cluster Mimi Boutin (Purdue University) 
Data Science Seminar 
October 15, 2019 
Simple Approaches to Complicated Data Analysis Deanna Needell (University of California, Los Angeles) 
Data Science Seminar 
October 01, 2019 
Citizen Science and Machine Learning at Zooniverse Darryl Wright (University of Minnesota, Twin Cities) 
Data Science Seminar 
January 21, 2020 
Linear Unbalanced Optimal Transport Matthew Thorpe (University of Cambridge) 
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 
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 04, 2020 
Different Aspects of Registration Problem Yuehaw Khoo (University of Chicago) 
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 28, 2020 
SEMINAR IS CANCELED  Machine Learning Meets Societal Values
Steven Wu (University of Minnesota, Twin Cities)  SEMINAR IS CANCELED

Data Science Seminar 
September 17, 2019 
Optimal Recovery under Approximability Models, with Applications Simon Foucart (Texas A & M University) 
Data Science Seminar 
March 24, 2020 
Kernel Approaches in Global Statistical Distances, Local Measure Detection, and Active Learning Alexander Cloninger (University of California, San Diego) 
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 19, 2019 
Robust Representation for Graph Data Dongmian Zou (University of Minnesota, Twin Cities) 
Data Science Seminar 
April 15, 2020 
Lecture Andrea Montanari (Stanford University) 
Data Science Seminar 
March 31, 2020 
Lecture Matthew Hirn (Michigan State University) 
Data Science Seminar 
November 26, 2019 
Information Flow and Security Aspects in 121 Networks Martina Cardone (University of Minnesota, Twin Cities) 
Data Science Seminar 
March 17, 2020 
Lecture Mauro Maggioni (Johns Hopkins University) 
Data Science Seminar 
November 12, 2019 
Latent Factor Models for Largescale Data Xiaoou Li (University of Minnesota, Twin Cities) 
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 
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 
October 25, 2019 
Gamma Guidance  The Mathematics Applied to a Launch Vehicle Gary Green (The Aerospace Corporation) 
Industrial Problems 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 
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 21, 2020 
Profiles of Math Careers in the Industry Martin Lacasse (ExxonMobil) 
Industrial Problems Seminar 
October 11, 2019 
Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics I Tim Bodin (Cargill, Inc.) 
Industrial Problems Seminar 
October 11, 2019 
Preparation for the MinneMUDAC Competition: On Predicting Commodity Closing Prices for Soybeans Kylie Mitchell (Cargill, Inc.) 
Industrial Problems Seminar 
October 18, 2019 
Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics II Tim Bodin (Cargill, Inc.) 
Industrial Problems Seminar 
November 22, 2019 
Machine Learning Problems at Target Mauricio Flores (Target Corporation) 
Industrial Problems Seminar 
October 11, 2019 
Data Science in Healthcare Yinglong Guo (UnitedHealth Group) 
Industrial Problems Seminar 
March 20, 2020 
Lecture Julie Thompson (Boston Scientific) 
Industrial Problems Seminar 
February 28, 2020 
Some Characteristics of Research in Finance Onur Ozyesil (Helm.ai) 
Industrial Problems Seminar 
September 27, 2019 
Sampling from an Alternate Universe: Overview of Privacypreserving Synthetic Data Christine Task (Knexus Research Corporation) 
Industrial Problems Seminar 
March 27, 2020 
Lecture Catherine (Katy) Micek (3M) 
Industrial Problems Seminar 
October 03, 2019 
Language and Interaction in Minecraft Arthur Szlam (Facebook) 
Industrial Problems Seminar 
September 17, 2019 
Gaussian Complexity, Metric Entropy, and the Statistical Learning of Deep Nets Andrew Barron (Yale University) 
Recent Progress in Foundational Data Science 
September 17, 2019 
Nonlinear PDEs and regularization in machine learning Jeff Calder (University of Minnesota, Twin Cities) 
Recent Progress in Foundational Data Science 
September 16, 2019 
Envelope Methods Dennis Cook (University of Minnesota, Twin Cities) 
Recent Progress in Foundational Data Science 
September 16, 2019 
ML under a Modern Optimization Lens Dimitris Bertsimas (Massachusetts Institute of Technology) 
Recent Progress in Foundational Data Science 
September 16, 2019 
Functional data analysis for activity profiles from wearable devices Ian McKeague (Columbia University) 
Recent Progress in Foundational Data Science 
September 16, 2019 
Statistical Inference for HighDimensional Models via Recursive OnlineScore Estimation Runze Li (The Pennsylvania State University) 
Recent Progress in Foundational Data Science 
June 26, 2019 
Very Tiny Knots in Nature
Kenneth Millett (University of California, Santa Barbara)

Public Lecture Series 
June 07, 2019 
Make great money, change the world (for the better): PhD options in Management and Economics David Hummels (Purdue University) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 07, 2019 
Panel Discussion: Emerging Opportunities for Applied Statistics and Quantitative Finance PhDs 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 07, 2019 
Student Activity: Finding your Focus in Graduate School Roy Araiza (Purdue University), Ty Frazier (University of Minnesota, Twin Cities), Richard McGehee (University of Minnesota, Twin Cities), Adrienne Sands (University of Minnesota, Twin Cities) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 07, 2019 
Mentor Activity: Creating an Action Plan Joe Omojola (Southern University at New Orleans), William Vélez (University of Arizona) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
Introduction and Overview William Vélez (University of Arizona) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
Data Science: What is it? Why is everyone talking about it? Should you be doing it? (You probably are already) Rebecca Nugent (Carnegie Mellon University) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
Student Activity: Support Your vocals like Destiny's Child supported Beyonce Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
The Quite Reasonable Effectiveness of Mathematical Sciences Juan Meza (National Science Foundation) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
Welcome 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
Panel Discussion: Emerging Opportunities for Applied Mathematics and Data Science PhDs 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
Student Activity: I know you are, but what am I? Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 06, 2019 
Mentor Activity: Attracting and Mentoring Students in A Multicultural Context Helena Noronha (California State University Northridge), Joe Omojola (Southern University at New Orleans) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 07, 2019 
On some examples of statistical applications Javier Rojo (Oregon State University) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 07, 2019 
Student Activity: Handson Statistics / MachineLearning Tutorial
Alicia Johnson (Macalester College)

Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
June 07, 2019 
Mentor Activity: Bringing Industrial Applications to the Mathematics Classroom Galin Jones (University of Minnesota, Twin Cities) 
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop 
October 15, 2019 
Computational Methods for Largescale Inverse Problems: Datadriven VS Physicsdriven or Combined? Youzuo Lin (Los Alamos National Laboratory) 
Computational Imaging 
October 17, 2019 
Rise of the machines (in MR image reconstruction) Florian Knoll (NYU Langone Medical Center) 
Computational Imaging 
October 15, 2019 
Tutorial on Python Programming for Computational Imaging Frank Ong (Stanford University) 
Computational Imaging 
October 18, 2019 
Welcome Remarks 
Computational Imaging 
October 15, 2019 
Computational Imaging with Deep Learning Orazio Gallo (NVIDIA Corporation) 
Computational Imaging 
October 18, 2019 
Computational Radar Imaging Mujdat Cetin (University of Rochester) 
Computational Imaging 
October 16, 2019 
Welcome Remarks 
Computational Imaging 
October 18, 2019 
Challenges and Opportunities in Magnetic Resonance Fingerprinting Nicole Seiberlich (University of Michigan) 
Computational Imaging 
October 16, 2019 
Coherent Optical Processing with Machine Learning Charles Bouman (Purdue University) 
Computational Imaging 
October 18, 2019 
Q&A/Closing Remarks Brendt Wohlberg (Los Alamos National Laboratory) 
Computational Imaging 
October 16, 2019 
Faster Guaranteed GANbased recovery in Linear Inverse Problems Yoram Bresler (University of Illinois at UrbanaChampaign) 
Computational Imaging 
October 14, 2019 
Welcome Remarks 
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 14, 2019 
Computational Microscopy Laura Waller (University of California, Berkeley) 
Computational Imaging 