Campuses:

Talks

Date Title / Speaker Event
June 06, 2019 Introduction and Overview
William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
May 06, 2019 Lecture
Mert Gurbuzbalaban (Rutgers, The State University Of New Jersey)
Data Science Seminar
May 03, 2019 Lecture
Ben Peirce (Samsung Research America)
Industrial Problems Seminar
May 03, 2019 Some Mathematics of the Fluorescence Ultrasound Modulated Optical Tomography
Yang Yang (Michigan State University)
Mathematics in Optical Imaging
May 03, 2019 A stability estimate for the inverse electroseismic problem
Eric Bonnetier (Université Grenoble-Alpes)
Mathematics in Optical Imaging
May 02, 2019 Simulatenous determination of initial source and sound speed in Photoacoustic Tomography
Benjamin Palacios (University of Chicago)
Mathematics in Optical Imaging
May 02, 2019 Quantitative analysis of metal artifacts in X-ray tomography
Yiran Wang (Stanford University)
Mathematics in Optical Imaging
May 02, 2019 Stability for quantitative Photoacoustic tomography revisited
Faouzi Triki (Université Grenoble-Alpes)
Mathematics in Optical Imaging
May 02, 2019 Reduced Order Models for Spectral Domain Inversion: Galerkin Equivalence and Generation of Internal Data
Shari Moskow (Drexel University)
Mathematics in Optical Imaging
May 02, 2019 Lecture
Irene Gamba (The University of Texas at Austin)
Mathematics in Optical Imaging
May 01, 2019 Stationary inverse problems for transport
Francois Monard (University of California, Santa Cruz)
Mathematics in Optical Imaging
May 01, 2019 Development of sparse grid DG methods for high dimensional PDEs
Yingda Cheng (Michigan State University)
Mathematics in Optical Imaging
May 01, 2019 Modulated Luminescent Tomography
Plamen Stefanov (Purdue University)
Mathematics in Optical Imaging
May 01, 2019 Lecture
Gang Bao (Zhejiang University)
Mathematics in Optical Imaging
May 01, 2019 Photo-acoustic tomography in a rotating setting
Guillaume Bal (University of Chicago)
Mathematics in Optical Imaging
April 30, 2019 Nonlinear Microscopy for Imaging Deep in Scattering Tissue
Chris Xu (Cornell University)
Mathematics in Optical Imaging
April 30, 2019 Multi-photon imaging resolves border disputes in the brain
Prakash Kara (University of Minnesota, Twin Cities)
Mathematics in Optical Imaging
April 30, 2019 Nonlinear Imaging to Elucidate the Physical and Molecular Mechanisms Regulating Carcinoma Progression
Paolo Provenzano (University of Minnesota, Twin Cities)
Mathematics in Optical Imaging
April 30, 2019 Lecture: A General Theory of X-ray Grating Interferometer with Arbitrary Grating Combinations
Guang-Hong Chen (University of Wisconsin Medical School)
Mathematics in Optical Imaging
April 30, 2019 Photoacoustic Computed Tomography in Heterogeneous Acoustic Media: Status and Open Challenges
Mark Anastasio (University of Illinois at Urbana-Champaign)
Mathematics in Optical Imaging
April 29, 2019 Inverse Problem for Kinetic Equations
Weiran Sun (Simon Fraser University)
Mathematics in Optical Imaging
April 29, 2019 Multifrequency acousto-optic tomography
Francis Chung (University of Kentucky)
Mathematics in Optical Imaging
April 29, 2019 Solving Multiscale Problems with Subsampled Data by Integrating PDE Analysis with Data Science
Thomas Hou (California Institute of Technology)
Data Science Seminar
April 29, 2019 Uncertainty Characterization in Model-Based Inverse and Imaging Problems
Kui Ren (Columbia University)
Mathematics in Optical Imaging
April 29, 2019 Superresolution and Inverse Problems with Internal Sources
John Schotland (University of Michigan)
Mathematics in Optical Imaging
April 29, 2019 Accelerating 4D PhotoAcoustic Tomography
Simon Arridge (University College London)
Mathematics in Optical Imaging
April 22, 2019 How Hard is it to Fool a Neural Net? A Mathematical Look at Adversarial Examples
Tom Goldstein (University of Maryland)
Data Science Seminar
April 15, 2019 Recent Advances in Wasserstein Distributionally Robust Optimization
Rui Gao (The University of Texas at Austin)
Data Science Seminar
April 12, 2019 Stating the Obvious - Job Search to Analytics Leadership
Sandhya Surapanenii (Stratasys)
Industrial Problems Seminar
April 08, 2019 A Brief Overview of Quantum Computing
Vlad Pribiag (University of Minnesota, Twin Cities)
Data Science Seminar
April 01, 2019 How to Deal with Big Data? Understanding Large-scale Distributed Regression
Edgar Dobriban (Wharton School of the University of Pennsylvania)
Data Science Seminar
March 29, 2019 So, How Do You Get a Job?
Chang Lee (Lowe's)
Industrial Problems Seminar
March 25, 2019 Recommendation Systems in Real Life
Mark Hsiao (Netflix, Inc)
Data Science Seminar
March 15, 2019 Infectious Disease Modeling in Public Health
Karyn Sutton (The Institute for Disease Modeling)
Industrial Problems Seminar
March 11, 2019 Robust and Phaseless PCA (and Subspace Tracking)
Namrata Vaswani (Iowa State University)
Data Science Seminar
March 08, 2019 Internship/Job Searching 101: Answering Your Most Asked Beginner Questions
Whitney Moore (University of Minnesota, Twin Cities)
Industrial Problems Seminar
March 04, 2019 Peculiar Properties of Locally Linear Embedding -- Toward Theoretical Understanding of Unsupervised Learning
Hau-tieng Wu (Duke University)
Data Science Seminar
March 01, 2019 Solar + Storage – Opportunities and Innovations
Sohan Das (EVS, Inc.)
Industrial Problems Seminar
February 25, 2019 Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension
David Woodruff (Carnegie Mellon University)
Data Science Seminar
February 22, 2019 Industrial Problems in Digital Retail
Samantha Schumacher (Target Corporation)
Industrial Problems Seminar
February 18, 2019 Graph Convolutional Neural Network via Scattering
Dongmian Zou (University of Minnesota, Twin Cities)
Data Science Seminar
February 11, 2019 Style Transfer by Relaxed Optimal Transport and Self-Similarity
Greg Shakhnarovich (Toyota Technological Institute at Chicago)
Data Science Seminar
February 08, 2019 Using Wearable Sensors to Predict Pain States
Kyle Srivastava (Boston Scientific)
Industrial Problems Seminar
February 04, 2019 Gromov-Monge Quasi Metrics and Distance Distributions
Tom Needham (The Ohio State University)
Data Science Seminar
January 28, 2019 Data-Driven Distributionally Robust Appointment Scheduling
Guanglin Xu (University of Minnesota, Twin Cities)
Data Science Seminar
January 25, 2019 Probabilistic Analysis of Operational Transit Data to Create Insights for Planners
Eric Lind (Metro Transit)
Industrial Problems Seminar
December 10, 2018 Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary
Lori Ziegelmeier (Macalester College)
Data Science Seminar
December 07, 2018 When Seeing is not Believing: New Forensics Algorithms to Detect Image Manipulations
Michael Albright (Honeywell)
Industrial Problems Seminar
December 06, 2018 Thompson Sampling for learning in online decision making
Shipra Agrawal (Columbia University)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Statistical State Compression and Primal-Dual Pi Learning
Mengdi Wang (Princeton University)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Inventory Repositioning in On-Demand Product Rental Networks
Xiaobo Li (National University of Singapore)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Simple Bayesian Algorithms for Pure-exploration
Dan Russo (Columbia University)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Revenue Management and Pricing with Strategic (Forward-looking) Customers
Yiwei Chen (University of Cincinnati)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data
Mike Wei (University at Buffalo (SUNY))
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Interpreting Predictive Models for Human-in-the-Loop Analytics
Hamsa Bastani (Wharton School of the University of Pennsylvania)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Managing a newsvendor network under uncertainty: case study of a pharmacy retailer in India
Chaithanya Bandi (Northwestern University)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 The Secret Behind Fast Delivery - From Inventory Management Perspective
Rong Yuan (JD.COM)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 Reducing Exploration in Personalized Decision-Making
Mohsen Bayati (Stanford University)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 Data-driven Supply Chain Management at Huawei
Tianxiao Chen (Huawei Technologies)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Absenteeism Prediction and Extra-board Driver Scheduling for Bus Transit Operations
Qie He (University of Minnesota, Twin Cities)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 The Supply Chain Management Challenges of the Future in Agriculture
Jorge Guanter (Cargill, Inc.)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Inventory Balancing with Online Learning
Xinshang Wang (Massachusetts Institute of Technology)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Retail Supply Chain at Target Scale
Kaveh Khodjasteh (Target Corporation)
From Theory to Practice: Data-driven Supply Chain Management
November 29, 2018 Interpolative Decomposition and its Applications (Math Dept Colloquium Lecture)
Lexing Ying (Stanford University)
Data Science Seminar
November 28, 2018 Convex Relaxation Approaches for Strictly Correlated Density Functional Theory
Lexing Ying (Stanford University)
Data Science Seminar
November 26, 2018 Solving PDEs with Deep Learning
Lexing Ying (Stanford University)
Data Science Seminar
November 19, 2018 Lipschitz Regularized Deep Neural Networks Converge and are Robust to Adversarial Perturbations
Adam Oberman (McGill University)
Data Science Seminar
November 16, 2018 Some Remarks
Robert Langlands (Institute for Advanced Study)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 16, 2018 Constructing and characterizing a local Langlands correspondence
Michael Harris (Columbia University)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 16, 2018 Advanced Dynamics Systems Analysis and Synthesis for Future Storage Challenges
Raye Sosseh (Seagate Technology)
Industrial Problems Seminar
November 16, 2018 Harish-Chandra characters and the local Langlands correspondence
Tasho Kaletha (University of Michigan)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 16, 2018 Endoscopy and geometry
Ngo Bao Chau (University of Chicago)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 15, 2018 Shimura Varieties
Sophie Morel (Princeton University)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 15, 2018 The geometric Langlands correspondence and electromagnetic duality
Edward Frenkel (University of California, Berkeley)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 15, 2018 The p-adic Langlands program
Matthew Emerton (University of Chicago)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 15, 2018 Residue distributions and harmonic analysis on reductive groups
Eric Opdam (Universiteit van Amsterdam)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 14, 2018 The Stable Trace Formula
James Arthur (University of Toronto)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 14, 2018 Functoriality and Beyond Endoscopy
Salim Altug (Boston University)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 14, 2018 On an analytic theory of automorphic forms for complex algebraic curves
Edward Frenkel (University of California, Berkeley)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 14, 2018 Eisenstein Series and L-functions
Freydoon Shahidi (Purdue University)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 12, 2018 Learning from Highly Correlated Features using Graph Total Variation
Rebecca Willett (University of Chicago)
Data Science Seminar
November 09, 2018 A novel method to identify and prioritize drugs for an individual (N=1) based on clinical and multi-omics data
Krishna Kalari (Mayo Clinic)
Statistical and Computational Challenges in Precision Medicine
November 09, 2018 Efficient Discovery of Heterogeneous Treatment Effects via Anomalous Pattern Detection
Edward McFowland (University of Minnesota, Twin Cities)
Statistical and Computational Challenges in Precision Medicine
November 09, 2018 C-learning: A New Classification Framework to Estimate Optimal Dynamic Treatment Regimes
Min Zhang (University of Michigan)
Statistical and Computational Challenges in Precision Medicine
November 09, 2018 Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options
Donglin Zeng (University of North Carolina, Chapel Hill)
Statistical and Computational Challenges in Precision Medicine
November 09, 2018 Personalized risk prediction using longitudinal data: Applications in obstetrics and cancer
Paul Albert (National Cancer Institute)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Statistical Analysis of SMART Studies via Arti fcial Randomization
Abdus Wahed (University of Pittsburgh)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Quantile-optimal Treatment Regimes with Censored Data
Lan Wang (University of Minnesota, Twin Cities)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 HASS: Hybrid Algorithm for Subgroup Search via ADMM and EM Algorithms
Peter Song (University of Michigan)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Estimating and testing targeted mediation effect in the presence of high-dimensional mediators
Lei Liu (Washington University School of Medicine)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Statistical Inference of Covariate-Adjusted Randomized Experiment
Feifang Hu (George Washington University)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Adaptive testing on a high-dimensional parameter with application to precision medicine
Wei Pan (University of Minnesota, Twin Cities)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Learning Multi-relations in Biomedical Networks and Tensors
Rui Kuang (University of Minnesota, Twin Cities)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Quantile Regression in Genetic studies
Ying Wei (Columbia University)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Group and Individual Non-Gaussian Components Analysis
David S. Matteson (Cornell University)
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Clustering Mixed-Type Data
Marianthi Markatou (University at Buffalo (SUNY))
Statistical and Computational Challenges in Precision Medicine
November 08, 2018 Keynote
Eric Laber (North Carolina State University)
Statistical and Computational Challenges in Precision Medicine
November 07, 2018 Poster session and reception

Zhengling Qi (University of North Carolina, Chapel Hill)

Statistical and Computational Challenges in Precision Medicine
November 07, 2018 Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records
Yuanjia Wang (Columbia University)
Statistical and Computational Challenges in Precision Medicine
November 07, 2018 Selection of the Optimal Personalized Treatment from Multiple Treatments with Multivariate Outcome Measures
Somnath Datta (University of Florida)
Statistical and Computational Challenges in Precision Medicine

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