Campuses:

Talks

Date Title / Speaker Eventsort ascending
January 12, 2021 Lecture
Lillian Pierce (Duke University)
Public Lecture Series
February 09, 2021 Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University)
Public Lecture Series
October 12, 2020 Let me try to do something useless...: How mathematics surprises us with real-world applications, even when we least expect it
Lillian Pierce (Duke University)
Public Lecture Series
January 19, 2021 Lecture
Dimitris Giannakis (Courant Institute of Mathematical Sciences)
Data Science Seminar
October 06, 2020 Large-Scale Semi-supervised Learning via Graph Structure Learning over High-dense Points
Li Wang (University of Texas at Arlington)
Data Science Seminar
January 26, 2021 Lecture
Amir Sagiv (Columbia University)
Data Science Seminar
October 27, 2020 Clustering High-dimensional Data with Path Metrics: A Balance of Density and Geometry
Anna Little (The University of Utah)
Data Science Seminar
February 23, 2021 Lecture
Facundo Mémoli (The Ohio State University)
Data Science Seminar
October 13, 2020 Geometric Methods in Statistics, Optimization, and Sampling
Tyler Maunu (Massachusetts Institute of Technology)
Data Science Seminar
November 03, 2020 Machine Learning Methods for Solving High-dimensional Mean-field Game Systems
Levon Nurbekyan (University of California, Los Angeles)
Data Science Seminar
November 10, 2020 Natural Graph Wavelet Packets
Naoki Saito (University of California, Davis)
Data Science Seminar
November 17, 2020 Fast Statistical and Geometric Distances Between Families of Distributions
Alexander Cloninger (University of California, San Diego)
Data Science Seminar
December 08, 2020 Lecture
Matthew Hirn (Michigan State University)
Data Science Seminar
December 01, 2020 Filter-decomposed Convolution in Deep Neural Networks: On Groups, Graphs, and Across Domains
Xiuyuan Cheng (Duke University)
Data Science Seminar
February 02, 2021 Lecture
Wenjing Liao (Georgia Institute of Technology)
Data Science Seminar
September 08, 2020 Does Deep Learning Solve the Phase Retrieval Problem?
Ju Sun (University of Minnesota, Twin Cities)
Data Science Seminar
February 09, 2021 Lecture
Kenth Monsen (Telenor)
Data Science Seminar
September 22, 2020 Matrix Denoising with Weighted Loss
William Leeb (University of Minnesota, Twin Cities)
Data Science Seminar
March 02, 2021 Lecture
Jianfeng Lu (Duke University)
Data Science Seminar
September 29, 2020 Multi-Perspective, Simultaneous Embedding and Theoretically Guaranteed Projected Power Method for the Multi-way Matching Problem
Vahan Huroyan (University of Arizona)
Data Science Seminar
November 24, 2020 Multiway Tensor Analysis with Neuroscience Applications
Gal Mishne (University of California, San Diego)
Data Science Seminar
December 15, 2020 Estimation of Manifolds from Point Clouds: Building Models from Data
Barak Sober (Duke University)
Data Science Seminar
October 20, 2020 How COVID-19 has Changed the World and What the Future Holds
Michael Osterholm (University of Minnesota, Twin Cities)
Data Science Seminar
December 11, 2020 Lecture
Natalie Sheils (UnitedHealth Group)
Industrial Problems Seminar
February 05, 2021 Lecture
Angelique Johnson (MEMStim LLC)
Industrial Problems Seminar
March 05, 2021 Lecture
Tanya Grinberg (Symbiokinetics Inc)
Industrial Problems Seminar
November 06, 2020 Active Community Detection with Maximal Expected Model Change
Dan Kushnir (Nokia Bell Labs)
Industrial Problems Seminar
February 19, 2021 Lecture
Ali Pinar (Sandia National Laboratories)
Industrial Problems Seminar
October 23, 2020 An Introduction to Image Compression, Old and New
Chris Finlay (Deep Render)
Industrial Problems Seminar
January 22, 2021 Lecture
Edo Liberty (HyperCube)
Industrial Problems Seminar
March 19, 2021 Lecture
Daniel Kaslovsky (Automox)
Industrial Problems Seminar
September 25, 2020 The Technical and Organizational Challenges of Data Science
Catherine (Katy) Micek (3M)
Industrial Problems Seminar
November 13, 2020 The Evolution of Basketball with Data Science
Ivana Seric (Philadelphia 76ers)
Industrial Problems Seminar
October 02, 2020 Combinatorial Algorithms for National Security
Cynthia Phillips (Sandia National Laboratories)
Industrial Problems Seminar
December 04, 2020 Lecture
Julie Thompson (Boston Scientific)
Industrial Problems 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
September 11, 2020 Flying High with Math
Sharon Arroyo (The Boeing Company), Shabnam Khamooshi (The Boeing Company)
Industrial Problems Seminar
October 16, 2020 Systems Modeling in Biopharma
Helen Moore (Applied BioMath)
Industrial Problems Seminar
September 18, 2020 SIAM Internship Panel
Montie Avery (University of Minnesota, Twin Cities)
Industrial Problems Seminar
January 29, 2021 Lecture
Hany Farag (Canadian Imperial Bank of Commerce (CIBC))
Industrial Problems 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 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 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 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
February 03, 2020 On the Final Frontiers in Computational Mathematics
Anders Hansen (University of Cambridge (Cambridge, GB))
IMA Prize Lecture
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 Long-term Fairness Implications of AI-driven 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 Urbana-Champaign)
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 Model-based Robust Control and Model-free Reinforcement Learning
Bin Hu (University of Illinois at Urbana-Champaign)
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 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 26, 2020 On the Role of Well-posedness 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 25, 2020 Lecture
Vijay Gupta (University of Notre Dame)
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
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 Urbana-Champaign)
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 Common-Pool Resource Games
Vaibhav Srivastava (Michigan State University)
Postponed: The 9th Midwest Control and Game Theory Workshop
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 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 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 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 07, 2020 Lecture
Edna Cukierman (Fox Chase Cancer Center)
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment
April 06, 2020 Wrap-up Discussion CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment
April 07, 2020 Tumor-Matrix 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 Wrap-up 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
November 10, 2020 A PDE Interpretation of Prediction with Expert Advice
Nadejda Drenska (University of Minnesota, Twin Cities)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Streaming Computation of Optimal Weak Transport Barycenters
Elsa Cazelles (Institut de Recherche en Informatique de Toulouse)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 Deep Learning and Optimal Control
Weinan E (Princeton University)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Optimal Control of Fluid Transport Networks
Anatoly Zlotnik (Los Alamos National Laboratory)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Active Learning and Optimal Experimental Design
Eldad Haber (University of British Columbia)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 A Fast Approach to Optimal Transport: The Back-and-forth Method
Matthew Jacobs (University of California, Los Angeles)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Wasserstein Control of Mirror Langevin Monte Carlo
Kelvin Shuangjian Zhang (École Normale Supérieure)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Stochastic Methods for Optimal Transport in Machine Learning Applications
Aude Genevay (Massachusetts Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Prediction with Expert Advice: A PDE Perspective on a Model Problem from Online Machine Learning
Robert Kohn (New York University)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Information in Mean Field Control
Aaron Palmer (University of British Columbia)
Optimal Control, Optimal Transport, and Data Science
November 13, 2020 Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
Katy Craig (University of California, Santa Barbara)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 The Quadratic Wasserstein Metric for Inverse Data Matching Problems
Yunan Yang (New York University)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Summarizing and Analyzing Data using Optimal Transport
Justin Solomon (Massachusetts Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Learned Adversarial Regularisers
Carola Schoenlieb (University of Cambridge (Cambridge, GB))
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Graphical Optimal Transport
Yongxin Chen (Georgia Institute of Technology)
Optimal Control, Optimal Transport, and Data Science

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