Campuses:

Talks

Date Title / Speaker Event
May 05, 2020 Lecture
Svetlana Lazebnik (University of Illinois at Urbana-Champaign)
Data Science Seminar
April 28, 2020 Detecting New Signals Under Background Mismodeling
Sara Algeri (University of Minnesota, Twin Cities)
Data Science Seminar
April 21, 2020 Lecture
Naoki Saito (University of California, Davis)
Data Science Seminar
April 15, 2020 Lecture
Andrea Montanari (Stanford University)
Data Science Seminar
April 14, 2020 Lecture
Ekaterina Rapinchuk (Michigan State University)
Data Science Seminar
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 08, 2020 Lecture
Paul Macklin (Indiana University)
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment
April 08, 2020 Lecture
Daniel Billadeau (Mayo Clinic)
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment
April 07, 2020 Wrap-up Discussion 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 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 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 Lecture
Kaylee Schwertfeger (University of Minnesota, Twin Cities)
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment
April 07, 2020 Lecture
Katarzyna (Kasia) Rejniak (Moffitt Cancer Center)
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment
April 07, 2020 Lecture
Edna Cukierman (Fox Chase Cancer Center)
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 Wrap-up Discussion 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 06, 2020 Lecture
Paolo Provenzano (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
Samira Azarin (University of Minnesota, Twin Cities)
Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment
April 06, 2020 Lecture
Lance Kam (Columbia University)
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
March 31, 2020 Lecture
Matthew Hirn (Michigan State University)
Data Science Seminar
March 27, 2020 Lecture
Catherine (Katy) Micek (3M)
Industrial Problems 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
March 20, 2020 Lecture
Julie Thompson (Boston Scientific)
Industrial Problems Seminar
March 19, 2020 Coding and Generative Design for 3D Printing

Laura Taalman (James Madison University)

Public Lecture Series
March 17, 2020 Lecture
Mauro Maggioni (Johns Hopkins University)
Data Science Seminar
March 03, 2020 “Living” 3D World Models Leveraging Crowd Sourced Data
Jan-Michael Frahm (Facebook)
Data Science Seminar
February 28, 2020 Lecture
Onur Ozyesil (INTECH Investment Management LLC)
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 Metropolis-Hastings Algorithms with Non-Gaussian 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 Urbana-Champaign)
Data Science Seminar
November 26, 2019 Information Flow and Security Aspects in 1-2-1 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 Large-scale 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 low-rank 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 patch-based 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 GAN-based recovery in Linear Inverse Problems
Yoram Bresler (University of Illinois at Urbana-Champaign)
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 Large-scale Inverse Problems: Data-driven VS Physics-driven 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 Cryo-Electron Microscopy Image Analysis with Multi-Frequency Vector Diffusion Maps
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
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 fixed-point iterations and plug-and-play methods
Wotao Yin (University of California, Los Angeles)
Computational Imaging
October 14, 2019 Dictionary and model-based methods in quantitative MRI reconstruction
Mariya Doneva (Philips Research Laboratory)
Computational Imaging
October 14, 2019 Surfing the Technology Wave 2019 and Algorithm-Hardware Co-Design - 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 Privacy-preserving Synthetic Data
Christine Task (Knexus Research Corporation)
Industrial Problems Seminar
September 24, 2019 The Geometry of Ambiguity in One-dimensional 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 High-Dimensional Models via Recursive Online-Score 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

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