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 
February 23, 2018 
Lecture Guyvanie Miakonkana (Travelers Insurance) 
Industrial Problems Seminar 
February 21, 2018 
Impossible Objects: The Mathematics of 3D Illusions Kokichi Sugihara (Meiji University) 
Public Lecture Series 
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 05, 2017 
Snow Business: Scientific Computing in the Movies and Beyond
Joseph Teran (University of California, Los Angeles)

Public Lecture Series 
December 01, 2017 
Lecture Carol Woodward (Lawrence Livermore National Laboratory) 
Industrial Problems Seminar 
November 28, 2017 
Lecture Hossein Keshavarz (University of Minnesota, Twin Cities) 
Data Science Seminar 
November 17, 2017 
Lecture Gail Letzter (National Security Agency) 
Industrial Problems Seminar 
November 03, 2017 
Lecture Christos Boutsidis (Goldman Sachs) 
Industrial Problems Seminar 
October 31, 2017 
Multireference Alignment without Alignment Nicolas Boumal (Princeton University) 
Data Science Seminar 
October 26, 2017 
Keynote Patrick Schnable (Iowa State University) 
Agricultural Data Integration: From Genomics to Unmanned Systems 
October 26, 2017 
Lecture Melissa Cragin (University of Illinois at UrbanaChampaign) 
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 UrbanaChampaign), 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 20, 2017 
Lecture Guanglin Xu (University of Minnesota, Twin Cities) 
Postdoc Seminar Series 
October 13, 2017 
Utilizing Numerical Optimization to Improve the Utility of DataBased Forecasting Models Genetha Gray (Intel Corporation) 
Industrial Problems Seminar 
October 13, 2017 
A DataDriven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 01 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 TwoStage Adjustable Robust Linear Optimization with Uncertain RightHand 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 changepoint 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 InversionFree 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 
ImmunoOncology Therapies and Precision Medicine: Personal TumorSpecific Neoantigen Prediction by Machine Learning YiHsiang 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 ChihLin (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 AntibioticResistant Bacterial Infection from Shotgun Metagenomic Data David Haslam (Cincinnati Childrens Hospital Medical Center) 
Innovative Statistics and Machine Learning for Precision Medicine 
September 15, 2017 
MaximinProjection 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 MultiArmed Bandit Strategies Yuhong Yang (University of Minnesota, Twin Cities) 
Innovative Statistics and Machine Learning for Precision Medicine 
September 15, 2017 
Doublyrobust estimation of sharedparameter 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 
QuantileOptimal 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 
ChangePlane 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 biomarkeradaptive designs of clinical trial for precision medicine Feifang Hu (George Washington University) 
Innovative Statistics and Machine Learning for Precision Medicine 
September 14, 2017 
Estimating IndividualLevel and PopulationLevel 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: Listbased 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 intratumor 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 SloanKettering 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 lowrank 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 Doptimal OED in data assimilation problems Tan BuiThanh (The University of Texas at Austin) 
Sensor Location in Distributed Parameter Systems 
September 08, 2017 
MCMC Methods for Nonlinear HierarchicalBayesian 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 Multisensor 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 ComplexStep Derivative Approximation for 1D PoroElastic and PoroViscoElastic Models Harvey Banks (North Carolina State University) 
Sensor Location in Distributed Parameter Systems 
September 06, 2017 
Subspacedriven 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 QuasiVariational Inequalities Carlos Rautenberg (HumboldtUniversität) 
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 LinearQuadraticGaussian 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 JeanPhillippe 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 JeanPaul 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 
SageEnabled Textbooks Rob Beezer (University of Puget Sound) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 22, 2017 
An introduction to padics in Sage David Roe (University of Pittsburgh) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 22, 2017 
Computing rational points on curves in Sage Jennifer Balakrishnan (Boston University) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 21, 2017 
The many ways of computing with real numbers Vincent Delecroix (Université de Bordeaux II (Victor Segalen)) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 21, 2017 
Open Source Tools for Optimization in Python Ted Ralphs (Lehigh University) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 21, 2017 
Graphs as Statistical Objects Tom Denton (Google Inc.) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 21, 2017 
An introduction to cluster superalgebras Ashish Srivastava (Saint Louis University) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 21, 2017 
Features we have and want in combinatorics in Sage Anne Schilling (University of California, Davis) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 21, 2017 
An Introduction to SageMath Franco Saliola (University of Quebec) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 21, 2017 
Welcome and introduction Benjamin Brubaker (University of Minnesota, Twin Cities), Gregg Musiker (University of Minnesota, Twin Cities) 
Sage Days: Opening Workshop for a Year of Coding Sprints 
August 18, 2017 
Discussion session and workshop recap 
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees 