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 
October 08, 2019 
Parallel Transport Convolutional Neural Networks on Manifolds Rongjie Lai (Rensselaer Polytechnic Institute) 
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 
September 24, 2019 
The Geometry of Ambiguity in Onedimensional Phase Retrieval Dan Edidin (University of Missouri) 
Data Science Seminar 
October 11, 2019 
Data Science in Healthcare Yinglong Guo (UnitedHealth Group) 
Industrial Problems Seminar 
October 03, 2019 
Language and Interaction in Minecraft Arthur Szlam (Facebook) 
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 
February 28, 2020 
Some Characteristics of Research in Finance Onur Ozyesil (Helm.ai) 
Industrial Problems Seminar 
May 22, 2020 
AI for COVID19: An Online Virtual Care Approach Xavier Amatriain (Curai) 
Industrial Problems Seminar 
October 25, 2019 
Gamma Guidance  The Mathematics Applied to a Launch Vehicle Gary Green (The Aerospace Corporation) 
Industrial Problems Seminar 
February 21, 2020 
Profiles of Math Careers in the Industry Martin Lacasse (ExxonMobil) 
Industrial Problems Seminar 
September 27, 2019 
Sampling from an Alternate Universe: Overview of Privacypreserving Synthetic Data Christine Task (Knexus Research Corporation) 
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 
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 
November 22, 2019 
Machine Learning Problems at Target Mauricio Flores (Target Corporation) 
Industrial Problems Seminar 
October 18, 2019 
Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics II Tim Bodin (Cargill, Inc.) 
Industrial Problems Seminar 
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 
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 
June 26, 2019 
Very Tiny Knots in Nature
Kenneth Millett (University of California, Santa Barbara)

Public Lecture Series 
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 
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 
October 17, 2019 
Computational Imaging: Beyond the limits imposed by lenses Ashok Veeraraghavan (Rice University) 
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 
October 16, 2019 
Novel CT Data Acquisition and Processing Joseph Stayman (Johns Hopkins University) 
Computational Imaging 
October 15, 2019 
Affiliated Data Science Seminar: Simple Approaches to Complicated Data Analysis Deanna Needell (University of California, Los Angeles) 
Computational Imaging 
October 14, 2019 
Interpreting Photon and Electron Detections to Form Images Vivek Goyal (Boston University) 
Computational Imaging 
October 16, 2019 
Machine Learning for Tomographic Imaging Ge Wang (Rensselaer Polytechnic Institute) 
Computational Imaging 
October 14, 2019 
Surfing the Technology Wave 2019 and AlgorithmHardware CoDesign  Industry Perspective + Q&A Sergio Goma (QUALCOMM) 
Computational Imaging 
October 16, 2019 
Data and Image Domain Deep Learning for Tomographic Computational Imaging W. Clem Karl (Boston University) 
Computational Imaging 
October 14, 2019 
Dictionary and modelbased methods in quantitative MRI reconstruction Mariya Doneva (Philips Research Laboratory) 
Computational Imaging 
October 17, 2019 
Welcome Remarks 
Computational Imaging 
October 14, 2019 
A simple 2D graphing tool for the convergence of fixedpoint iterations and plugandplay methods Wotao Yin (University of California, Los Angeles) 
Computational Imaging 
October 17, 2019 
Three Short Stories About Image Denoising Mario Figueiredo (Instituto Superior Tecnico) 
Computational Imaging 
October 14, 2019 
Data Compression in Distributed Learning Ming Yan (Michigan State University) 
Computational Imaging 
October 17, 2019 
Fourier Multispectral Imaging Keigo Hirakawa (University of Dayton) 
Computational Imaging 
October 15, 2019 
Welcome Remarks 
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 15, 2019 
CryoElectron Microscopy Image Analysis with MultiFrequency Vector Diffusion Maps Zhizhen (Jane) Zhao (University of Illinois at UrbanaChampaign) 
Computational Imaging 
October 14, 2019 
Tutorial on Julia Programming for Computational Imaging Jeff Fessler (University of Michigan) 
Computational Imaging 
October 15, 2019 
Imaging the Unseen: Taking the First Picture of a Black Hole Katie Bouman (California Institute of Technology) 
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 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 18, 2019 
Challenges and Opportunities in Magnetic Resonance Fingerprinting Nicole Seiberlich (University of Michigan) 
Computational Imaging 
October 16, 2019 
Welcome Remarks 
Computational Imaging 
October 18, 2019 
Q&A/Closing Remarks Brendt Wohlberg (Los Alamos National Laboratory) 
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 
June 03, 2019 
Electron hydrodynamics and Hall viscosity Keywords of presentations: Hydrodynamics, Hall viscosity Thomas Scaffidi (University of California, Berkeley) 
Hydrodynamic Models for Transport in 2D Materials 
June 03, 2019 
Electron transport on the hexagonal Fermi surface of PdCoO2 Maja Bachmann (MaxPlanckGesellschaft) 
Hydrodynamic Models for Transport in 2D Materials 
June 03, 2019 
Electron hydrodynamics with a polygon Fermi surface Andrew Lucas (Stanford University) 
Hydrodynamic Models for Transport in 2D Materials 
June 04, 2019 
Electron Hydrodynamics in Graphene: Introduction and Status Denis Bandurin (Massachusetts Institute of Technology) 
Hydrodynamic Models for Transport in 2D Materials 
June 06, 2019 
A spectral decomposition approach for the conductivity response of a 2D electron fluid Matthias Maier (Texas A & M University) 
Hydrodynamic Models for Transport in 2D Materials 
June 04, 2019 
Hydrodynamic magnetoplasmon resonance and Hall viscosity in resistance of correlated electrondoublelayer liquids Alex Levchenko (University of Wisconsin, Madison) 
Hydrodynamic Models for Transport in 2D Materials 
June 05, 2019 
Topological invariants for interface modes Guillaume Bal (University of Chicago) 
Hydrodynamic Models for Transport in 2D Materials 
June 05, 2019 
Thermal and electrical signatures of a hydrodynamic electron fluid in WP2 Fabian Menges (University of Colorado) 
Hydrodynamic Models for Transport in 2D Materials 
June 06, 2019 
Electron hydrodynamics in Dirac Systems Joerg Schmalian (Karlsruhe Institute of Technology) 
Hydrodynamic Models for Transport in 2D Materials 
June 05, 2019 
Probing Hydrodynamic Materials from First Principles Jennifer Coulter (Harvard University) 
Hydrodynamic Models for Transport in 2D Materials 
June 04, 2019 
Acoustic plasmons at the crossover between the collisionless and hydrodynamic regimes in twodimensional electron liquids Marco Polini (Istituto Italiano di Tecnologia) 
Hydrodynamic Models for Transport in 2D Materials 
June 07, 2019 
Lecture Vera Andreeva (University of Minnesota, Twin Cities) 
Hydrodynamic Models for Transport in 2D Materials 
August 19, 2019 
Introduction to teams and topics: Teams 4  6 Debra Boutin (Hamilton College), Sally Cockburn (Hamilton College), Linda Eroh (University of Wisconsin at Oshkosh), Ruth Haas (University of Hawaii at Manoa), Ortud Oellermann (University of Winnipeg), Karen Seyffarth (University of Calgary) 
Workshop for Women in Graph Theory and Applications (WIGA) 
August 22, 2019 
Old and new problems on hypercubes Fan Chung Graham (University of California, San Diego) 
Workshop for Women in Graph Theory and Applications (WIGA) 
August 19, 2019 
WIGA Goals Linda Lesniak (Western Michigan University) 
Workshop for Women in Graph Theory and Applications (WIGA) 
August 19, 2019 
Introduction to teams and topics: Teams 1  3 Jill Faudree (University of Alaska), Daniela Ferrero (Texas State UniversitySan Marcos), Leslie Hogben (Iowa State University), Christine Kelley (University of Nebraska), Linda Lesniak (Western Michigan University), Gretchen Matthews (Virginia Polytechnic Institute and State University) 
Workshop for Women in Graph Theory and Applications (WIGA) 
June 18, 2019 
Robust Subspace Recovery with Adversarial Outliers Tyler Maunu (Massachusetts Institute of Technology) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 21, 2019 
Gaps in Information Access in Social Networks Suresh Venkatasubramanian (The University of Utah) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 18, 2019 
Mean estimation for entangled singlesample distributions PoLing Loh (University of Wisconsin, Madison) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 21, 2019 
Locally Private Bayesian Inference for Count Models Steven Wu (University of Minnesota, Twin Cities) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 18, 2019 
Learning Models with Uniform Performance via Distributionally Robust Optimization John Duchi (Stanford University) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 20, 2019 
Towards Practical Notions of Individual Fairness Aaron Roth (University of Pennsylvania) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 18, 2019 
Predictive inference with the jackknife+ Rina Barber (University of Chicago) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 