Campuses:

Talks

Date Title / Speaker Event
May 04, 2018 Lecture
Tatiana Yarmola (J.P. Morgan AG)
Industrial Problems Seminar
April 24, 2018 Lecture
Joel Tropp (California Institute of Technology)
Data Science Seminar
April 13, 2018 Lecture
Dan Atkins (Optum)
Industrial Problems Seminar
March 23, 2018 Lecture
Anna Kondic (Merck & Co, Inc.)
Industrial Problems Seminar
March 20, 2018 Lecture
Junyu Zhang (University of Minnesota, Twin Cities)
Data Science Seminar
February 23, 2018 Lecture
Guy-vanie Miakonkana (Travelers Insurance)
Industrial Problems Seminar
February 21, 2018 Impossible Objects: The Mathematics of 3D Illusions

Kokichi Sugihara (Meiji University)

Public Lecture Series
February 06, 2018 Lecture
Charles Doss (University of Minnesota, Twin Cities)
Data Science Seminar
January 26, 2018 Lecture
Bryan Poling (Sentek Systems LLC)
Industrial Problems Seminar
January 19, 2018 Lecture
Scott Ernst (When I Work)
Industrial Problems Seminar
December 12, 2017 Lecture
Qihang Lin (The University of Iowa)
Data Science Seminar
December 05, 2017 Snow Business: Scientific Computing in the Movies and Beyond

Joseph Teran (University of California, Los Angeles)

Public Lecture Series
December 01, 2017 Solving Nonlinear and Time-Dependent Equations for the Department of Energy
Carol Woodward (Lawrence Livermore National Laboratory)
Industrial Problems Seminar
December 01, 2017 Lecture
Stuart Rogers (University of Minnesota, Twin Cities)
Postdoc Seminar Series
November 28, 2017 Lecture
Hossein Keshavarz (University of Minnesota, Twin Cities)
Data Science Seminar
November 21, 2017 Application of Fluid Dynamics to the Cardiovascular Surgery: Mathematical Science for the Profound Insight into Cardiovascular Disease and for the Surgical Planning
Keiichi Itatani (Kyoto Prefectural University of Medicine)
Data Science Seminar
November 17, 2017 Mathematics Careers at the National Security Agency
Gail Letzter (National Security Agency)
Industrial Problems Seminar
November 17, 2017 Optimal Control of Nonholonomic Mechanical Systems
Stuart Rogers (University of Minnesota, Twin Cities)
Postdoc Seminar Series
November 10, 2017 Two Problems In Third-Party Logistics: Finding Customers, and Moving Their Freight Efficiently
Brian Kreeger (CH Robinson), Elena Yudovina (CH Robinson)
Industrial Problems Seminar
November 10, 2017 Improved support recovery guarantees for the group Lasso with applications to structural health monitoring
Mojtaba Elyaderani (3M)
Postdoc Seminar Series
November 03, 2017 Graph Analytics for Bank Compliance
Christos Boutsidis (Goldman Sachs)
Industrial Problems Seminar
November 03, 2017 Phaseless reconstruction: A frame theoretical approach, Part 2
Dongmian Zou (University of Minnesota, Twin Cities)
Postdoc Seminar Series
October 31, 2017 Multireference Alignment without Alignment
Nicolas Boumal (Princeton University)
Data Science Seminar
October 27, 2017 Phaseless reconstruction: A frame theoretical approach, Part 1
Dongmian Zou (University of Minnesota, Twin Cities)
Postdoc Seminar Series
October 26, 2017 Keynote
Patrick Schnable (Iowa State University)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Midwest Big Data Hub: Activities and collaborations for the Ag-Food-Energy-Water data ecosystem
Melissa Cragin (University of Illinois at Urbana-Champaign)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Industry panel
Jason Cepela (PepsiCo, Inc.), Brian King (International Center for Tropical Agriculture (CIAT)), Vipin Kumar (University of Minnesota, Twin Cities), David LeBauer (University of Illinois at Urbana-Champaign), Philip Pardey (University of Minnesota, Twin Cities), Nathan Springer (University of Minnesota, Twin Cities)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Precision Agriculture Sensing Systems
Qiquan Qiao (South Dakota State University)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Unmanned Aerial System (UAS) Data Revolution in Precision Agriculture
Sreekala Bajwa (North Dakota State University)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 A deluge of information: Advancing science with big data in the atmospheric sciences
Aaron Kennedy (University of North Dakota)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Robotic Data Gathering for Agricultural Monitoring
Volkan Isler (University of Minnesota, Twin Cities)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Towards Spatial Data Science for Smart Agriculture Big Data
Shashi Shekhar (University of Minnesota, Twin Cities)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 24, 2017 Optimal Control of Nonholonomic Mechanical Systems
Stuart Rogers (University of Minnesota, Twin Cities)
Data Science Seminar
October 13, 2017 Utilizing Numerical Optimization to Improve the Utility of Data-Based Forecasting Models
Genetha Gray (Intel Corporation)
Industrial Problems Seminar
October 13, 2017 A Data-Driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming
Guanglin Xu (University of Minnesota, Twin Cities)
Postdoc Seminar Series
October 10, 2017 Community Structure in Stochastic Networks
Chao Gao (University of Chicago)
Data Science Seminar
October 06, 2017 Neural net word embeddings: What was old is new again
Jeremy Bellay (Battelle)
Industrial Problems Seminar
October 06, 2017 A Copositive Perspective on Two-Stage Adjustable Robust Linear Optimization with Uncertain Right-Hand Sides
Guanglin Xu (University of Minnesota, Twin Cities)
Postdoc Seminar Series
October 03, 2017 Deep Compressed Sensing
Paul Hand (Rice University)
Data Science Seminar
September 29, 2017 Job Searching Steps 1 and 2: Strategies for Applying and Interviewing
Whitney Moore (University of Minnesota, Twin Cities)
Industrial Problems Seminar
September 29, 2017 Online change-point detection in high dimensional Gaussian graphical models
Hossein Keshavarz (University of Minnesota, Twin Cities)
Postdoc Seminar Series
September 26, 2017 Lipschitz bounds for general convolutional neural networks
Dongmian Zou (University of Minnesota, Twin Cities)
Data Science Seminar
September 22, 2017 Local Inversion-Free covariance estimation for Gaussian Spatial Processes
Hossein Keshavarz (University of Minnesota, Twin Cities)
Postdoc Seminar Series
September 19, 2017 Quadratic Assignment on Different Data Models
Soledad Villar (New York University)
Data Science Seminar
September 16, 2017 Modeling and Validating Pharmacological Regulation of Circadian Rhythm
Jae Kyoung Kim (Korea Advanced Institute of Science and Technology (KAIST))
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Immuno-Oncology Therapies and Precision Medicine: Personal Tumor-Specific Neoantigen Prediction by Machine Learning
Yi-Hsiang Hsu (Harvard Medical School)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Emerging Biomarkers in Individualized Medicine
George Vasmatzis (Mayo Clinic)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Optimal Decision Support Rules Improve Personalize Warfarin Treatment Outcomes
Chih-Lin (Jake) Chi (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Lecture
Peter Tonellato (Harvard Medical School)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Applying Neural Networks to Predict Antibiotic-Resistant Bacterial Infection from Shotgun Metagenomic Data
David Haslam (Cincinnati Childrens Hospital Medical Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Maximin-Projection Learning for Optimal Treatment Decision with Heterogeneous Data
Wenbin Lu (North Carolina State University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Individualized Fusion Learning (iFusion) with Applications to Personalized Inference
Minge Xie (Rutgers, The State University Of New Jersey)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 A Sequential Conditional Test for Medical Decision Making
Min Qian (Columbia University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Treatment Allocations Based on Multi-Armed Bandit Strategies
Yuhong Yang (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Doubly-robust estimation of shared-parameter adaptive treatment strategies
Erica Moodie (McGill University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Efficient Policy Learning
Stefan Wager (Stanford University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Propensity score calipers and the overlap condition
Ben Hansen (University of Michigan)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
Kosuke Imai (Princeton University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Discovering Effect Modification in Observational Studies
Dylan Small (University of Pennsylvania)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Keynote: Recent advances in outcome weighted learning for precision medicine
Michael Kosorok (University of North Carolina, Chapel Hill)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Stabilized Dynamic Treatment Regimes
Yingqi Zhao (Fred Hutchinson Cancer Research Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Quantile-Optimal Treatment Regimes
Lan Wang (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 ExxonMobil networking event for Ph.D. students
Jeremy Bedard (ExxonMobil)
Industrial Problems Seminar
September 14, 2017 Change-Plane Analysis for Subgroup Detection and Sample Size Calculation
Rui Song (North Carolina State University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 New biomarker-adaptive designs of clinical trial for precision medicine
Feifang Hu (George Washington University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Estimating Individual-Level and Population-Level Causal Effects of Organ Transplantation Treatment Regimes
David Vock (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Tutorial: List-based treatment regimes
Eric Laber (North Carolina State University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Epigenetic Drift in Barrett's Esophagus: a biomarker of esophageal cancer risk
Georg Luebeck (Fred Hutchinson Cancer Research Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Assessment of intra-tumor genetic heterogeneity in lung cancer
Subhajyoti De (Rutgers Cancer Institute of New Jersey)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Epigenomic programs in immune cells and response to immunotherapy
Christina Leslie (Memorial Sloan-Kettering Cancer Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Keynote: Personalizing Autism Care Through Machine Learning on Mobile Systems
Dennis Wall (Stanford University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Welcome and introduction
Daniel Spirn
Innovative Statistics and Machine Learning for Precision Medicine
September 08, 2017 Applied Mathematics for Some Industrial Problems
Mouhacine Benosman (Mitsubishi Electric Research Laboratories)
Industrial Problems Seminar
September 08, 2017 Optimal low-rank approximations of Bayesian linear inverse problems
Luis Tenorio (Colorado School of Mines)
Sensor Location in Distributed Parameter Systems
September 08, 2017 Scalable approximations for A- and D-optimal OED in data assimilation problems
Tan Bui-Thanh (The University of Texas at Austin)
Sensor Location in Distributed Parameter Systems
September 08, 2017 MCMC Methods for Nonlinear Hierarchical-Bayesian Inverse Problems
John Bardsley (University of Montana)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Designing Experiments for Improved Estimation of Particle Size Distributions in Ejecta Clouds
Marylesa Howard (National Security Technologies, LLC)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Optimal shape and location of actuators or sensors in PDE models
Yannick Privat (Université de Paris VI (Pierre et Marie Curie))
Sensor Location in Distributed Parameter Systems
September 07, 2017 Sensor location in ultrasound tomography
Jennifer Mueller (Colorado State University)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Stochastic Reduced Order Modeling for Multi-sensor Radiation Transport Systems
Aaron Luttman (National Security Technologies, LLC)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Approximation errors, inverse problems and model reduction
Ville Kolehmainen (University of Eastern Finland)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Optimal sensor and actuator selection in distributed systems
Mihailo Jovanovic (University of Southern California)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Variational Approaches for the Quantification of Observation Impact and Configuration of Sensor Networks
Adrian Sandu (Virginia Polytechnic Institute and State University)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Boundary Sensitivity via the Complex-Step Derivative Approximation for 1D Poro-Elastic and Poro-Visco-Elastic Models
Harvey Banks (North Carolina State University)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Subspace-driven observation selection strategies for linear Bayesian inverse problems
Youssef Marzouk (Massachusetts Institute of Technology)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Robust Sensor Placement for Quasi-Variational Inequalities
Carlos Rautenberg (Humboldt-Universität)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Observers and Optimal Estimation for PDE Systems
John Burns (Virginia Polytechnic Institute and State University)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Sensor Modeling from Large to Small Scale
Erkki Somersalo (Case Western Reserve University)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Sparse Linear-Quadratic-Gaussian Control
Fu Lin (United Technologies Corporation)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Inverse problems: From regularization to Bayesian inference
Daniela Calvetti (Case Western Reserve University)
Sensor Location in Distributed Parameter Systems
August 24, 2017 Computations in Number Theory
Alyson Deines (Center for Communications Research)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 24, 2017 Automating the proof of an analogue of Matsumoto's theorem
Eric Marberg (Hong Kong University of Science and Technology)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 24, 2017 Number Theory in Sage
Kiran Kedlaya (University of California, San Diego)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 Educational technology in the large mathematics classroom
Duane Nykamp (University of Minnesota, Twin Cities)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 CoCalc and SageMath in service of Ximera
James Fowler (The Ohio State University)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 Experimental Coxeter Group Theory
Jean-Phillippe Labbe (Freie Universität Berlin)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 Pyomo: An Open Source Library for Modeling and Solving Mathematical Programs
Jean-Paul Watson (Sandia National Laboratories)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 22, 2017 Connections between resources
David Farmer (American Institute of Mathematics (AIM))
Sage Days: Opening Workshop for a Year of Coding Sprints
August 22, 2017 Sage-Enabled Textbooks
Rob Beezer (University of Puget Sound)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 22, 2017 An introduction to p-adics in Sage
David Roe (University of Pittsburgh)
Sage Days: Opening Workshop for a Year of Coding Sprints

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