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 
November 26, 2019 
Information Flow and Security Aspects in 121 Networks Martina Cardone (University of Minnesota, Twin Cities) 
Data Science Seminar 
November 22, 2019 
Machine Learning Problems at Target Mauricio Flores (Target Corporation) 
Industrial Problems Seminar 
November 19, 2019 
Robust Representation for Graph Data Dongmian Zou (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 12, 2019 
Latent Factor Models for Largescale Data Xiaoou Li (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 29, 2019 
Highly Likely Clusterable Data With No Cluster Mimi Boutin (Purdue University) 
Data Science Seminar 
October 25, 2019 
Gamma Guidance  The Mathematics Applied to a Launch Vehicle Gary Green (The Aerospace Corporation) 
Industrial Problems 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 
October 18, 2019 
Q&A/Closing Remarks Brendt Wohlberg (Los Alamos National Laboratory) 
Computational Imaging 
October 18, 2019 
Challenges and Opportunities in Magnetic Resonance Fingerprinting Nicole Seiberlich (University of Michigan) 
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 
Computational Radar Imaging Mujdat Cetin (University of Rochester) 
Computational Imaging 
October 18, 2019 
Welcome Remarks 
Computational Imaging 
October 17, 2019 
Rise of the machines (in MR image reconstruction) Florian Knoll (NYU Langone Medical Center) 
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 
Computational Imaging: Beyond the limits imposed by lenses Ashok Veeraraghavan (Rice University) 
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 
Fourier Multispectral Imaging Keigo Hirakawa (University of Dayton) 
Computational Imaging 
October 17, 2019 
Three Short Stories About Image Denoising Mario Figueiredo (Instituto Superior Tecnico) 
Computational Imaging 
October 17, 2019 
Welcome Remarks 
Computational Imaging 
October 16, 2019 
Data and Image Domain Deep Learning for Tomographic Computational Imaging W. Clem Karl (Boston University) 
Computational Imaging 
October 16, 2019 
Machine Learning for Tomographic Imaging Ge Wang (Rensselaer Polytechnic Institute) 
Computational Imaging 
October 16, 2019 
Novel CT Data Acquisition and Processing Joseph Stayman (Johns Hopkins University) 
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 
Faster Guaranteed GANbased recovery in Linear Inverse Problems Yoram Bresler (University of Illinois at UrbanaChampaign) 
Computational Imaging 
October 16, 2019 
Coherent Optical Processing with Machine Learning Charles Bouman (Purdue University) 
Computational Imaging 
October 16, 2019 
Welcome Remarks 
Computational Imaging 
October 15, 2019 
Computational Imaging with Deep Learning Orazio Gallo (NVIDIA Corporation) 
Computational Imaging 
October 15, 2019 
Tutorial on Python Programming for Computational Imaging Frank Ong (Stanford University) 
Computational Imaging 
October 15, 2019 
Simple Approaches to Complicated Data Analysis Deanna Needell (University of California, Los Angeles) 
Data Science Seminar 
October 15, 2019 
Affiliated Data Science Seminar: Simple Approaches to Complicated Data Analysis Deanna Needell (University of California, Los Angeles) 
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 15, 2019 
Imaging the Unseen: Taking the First Picture of a Black Hole Katie Bouman (California Institute 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 15, 2019 
Welcome Remarks 
Computational Imaging 
October 14, 2019 
Data Compression in Distributed Learning Ming Yan (Michigan State University) 
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 14, 2019 
Dictionary and modelbased methods in quantitative MRI reconstruction Mariya Doneva (Philips Research Laboratory) 
Computational Imaging 
October 14, 2019 
Surfing the Technology Wave 2019 and AlgorithmHardware CoDesign  Industry Perspective + Q&A Sergio Goma (QUALCOMM) 
Computational Imaging 
October 14, 2019 
Tutorial on Julia Programming for Computational Imaging Jeff Fessler (University of Michigan) 
Computational Imaging 
October 14, 2019 
Interpreting Photon and Electron Detections to Form Images Vivek Goyal (Boston University) 
Computational Imaging 
October 14, 2019 
Computational Microscopy Laura Waller (University of California, Berkeley) 
Computational Imaging 
October 14, 2019 
Welcome Remarks 
Computational Imaging 
October 11, 2019 
Preparation for the MinneMUDAC Competition: On Predicting Commodity Closing Prices for Soybeans Kylie Mitchell (Cargill, Inc.) 
Industrial Problems Seminar 
October 11, 2019 
Data Science in Healthcare Yinglong Guo (UnitedHealth Group) 
Industrial Problems Seminar 
October 11, 2019 
Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics I Tim Bodin (Cargill, Inc.) 
Industrial Problems Seminar 
October 08, 2019 
Parallel Transport Convolutional Neural Networks on Manifolds Rongjie Lai (Rensselaer Polytechnic Institute) 
Data Science Seminar 
October 03, 2019 
Language and Interaction in Minecraft Arthur Szlam (Facebook) 
Industrial Problems Seminar 
October 01, 2019 
Citizen Science and Machine Learning at Zooniverse Darryl Wright (University of Minnesota, Twin Cities) 
Data Science Seminar 
September 27, 2019 
Sampling from an Alternate Universe: Overview of Privacypreserving Synthetic Data Christine Task (Knexus Research Corporation) 
Industrial Problems Seminar 
September 24, 2019 
The Geometry of Ambiguity in Onedimensional Phase Retrieval Dan Edidin (University of Missouri) 
Data Science Seminar 
September 17, 2019 
Optimal Recovery under Approximability Models, with Applications Simon Foucart (Texas A & M University) 
Data Science Seminar 
September 17, 2019 
Nonlinear PDEs and regularization in machine learning Jeff Calder (University of Minnesota, Twin Cities) 
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 16, 2019 
Statistical Inference for HighDimensional Models via Recursive OnlineScore Estimation Runze Li (The Pennsylvania State University) 
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 
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 10, 2019 
Taming Nonconvexity: From Smooth to Nonsmooth Problems and Beyond Ju Sun (University of Minnesota, Twin Cities) 
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 
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 
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 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) 
August 19, 2019 
WIGA Goals Linda Lesniak (Western Michigan University) 
Workshop for Women in Graph Theory and Applications (WIGA) 
July 24, 2019 
Polytope algebra, tropical geometry, and Chow cohomology of toric varieties Josephine Yu (Georgia Institute of Technology) 
SageMath and Macaulay2  An Open Source Initiative 
July 24, 2019 
Normalized Antics: Polyhedral Computation in an Irrational Age Matthias Koeppe (University of California, Davis) 
SageMath and Macaulay2  An Open Source Initiative 
July 23, 2019 
MachineLearning the String Theory Landscape: Beyond SageMath and Macaulay2 YangHui He (University of London) 
SageMath and Macaulay2  An Open Source Initiative 
July 23, 2019 
Smooth Hilbert schemes Gregory Smith (Queen's University) 
SageMath and Macaulay2  An Open Source Initiative 
July 22, 2019 
Using Macaulay2 effectively in practice Michael Stillman (Cornell University) 
SageMath and Macaulay2  An Open Source Initiative 
July 22, 2019 
Proofs and computations: The story of alternating sign matrices and plane partitions in Sage Jessica Striker (North Dakota State University) 
SageMath and Macaulay2  An Open Source Initiative 
June 28, 2019 
Gordian Knotted Structures Kenneth Millett (University of California, Santa Barbara) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 28, 2019 
On some curvature energies for Legendrian knots in Heisenberg group. Marta Szumanska (University of Warsaw) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 27, 2019 
A landscape of knots Radmila Sazdanovic (North Carolina State University) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 27, 2019 
Mapping the Sawtooth: Brouwer's fixed point theorem in a tokamak fusion reactor Chris Smiet (Princeton Plasma Physics Laboratory) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 27, 2019 
Immersed flat ribbon knots José Ayala (University of Melbourne) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 27, 2019 
Equilibrium theory of elastic braids, with applications to DNA supercoiling Gert van der Heijden (Imperial College London) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 26, 2019 
Public Lecture Kenneth Millett (University of California, Santa Barbara) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 26, 2019 
Very Tiny Knots in Nature
Kenneth Millett (University of California, Santa Barbara)

Public Lecture Series 
June 26, 2019 
Folding pathways for knotted proteins Helen Wong (Claremont McKenna College) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 26, 2019 
On the Knotting Probability of Random Equilateral Polygons Kate Hake (Carleton College) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 26, 2019 
Weaving Kirchhoff Ribbons Etienne Vouga (The University of Texas at Austin) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 26, 2019 
Surfaces in Seifert fibered spaces Jennifer Schultens (University of California, Davis) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 25, 2019 
(5) Mobius invariant metric on the knot space Jun O'Hara (Chiba University) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 25, 2019 
Gradient Flows for the Möbius Energy Henrik Schumacher (RWTH Aachen University) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 25, 2019 
Dynamics of DNA supercoiling, knotting, and compaction David Swigon (University of Pittsburgh) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 25, 2019 
Approximating gradient flow evolutions of selfavoiding inextensible curves and elastic knots Soeren Bartels (AlbertLudwigsUniversität Freiburg) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 