June 20, 2019 
AverageCase Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Thomas Steinke (IBM Research Division) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 20, 2019 
Locally private learning, estimation, inference and optimality Feng Ruan (Stanford University) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 20, 2019 
Individual Sensitivity Preprocessing for Data Privacy Rachel Cummings (Georgia Institute of Technology) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 20, 2019 
Industrial Panel Discussion on Robustness, Fairness and Privacy 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 18, 2019 
Algorithmic Questions in HighDimensional Robust Statistics Ilias Diakonikolas (University of Southern California) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 21, 2019 
How Robust are Reconstruction Thresholds for Community Detection? Ankur Moitra (Massachusetts Institute of Technology) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 18, 2019 
Robust Subspace Recovery with Adversarial Outliers Tyler Maunu (Massachusetts Institute of Technology) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
June 21, 2019 
Gaps in Information Access in Social Networks Suresh Venkatasubramanian (The University of Utah) 
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness 
July 22, 2019 
Proofs and computations: The story of alternating sign matrices and plane partitions in Sage Jessica Striker (North Dakota State University) 
SageMath and Macaulay2  An Open Source Initiative 
July 22, 2019 
Using Macaulay2 effectively in practice Michael Stillman (Cornell University) 
SageMath and Macaulay2  An Open Source Initiative 
July 23, 2019 
Smooth Hilbert schemes Gregory Smith (Queen's University) 
SageMath and Macaulay2  An Open Source Initiative 
July 23, 2019 
MachineLearning the String Theory Landscape: Beyond SageMath and Macaulay2 YangHui He (University of London) 
SageMath and Macaulay2  An Open Source Initiative 
July 24, 2019 
Normalized Antics: Polyhedral Computation in an Irrational Age Matthias Koeppe (University of California, Davis) 
SageMath and Macaulay2  An Open Source Initiative 
July 24, 2019 
Polytope algebra, tropical geometry, and Chow cohomology of toric varieties Josephine Yu (Georgia Institute of Technology) 
SageMath and Macaulay2  An Open Source Initiative 
April 30, 2019 
Multiphoton imaging resolves border disputes in the brain Prakash Kara (University of Minnesota, Twin Cities) 
Mathematics in Optical Imaging 
April 30, 2019 
Nonlinear Microscopy for Imaging Deep in Scattering Tissue Chris Xu (Cornell University) 
Mathematics in Optical Imaging 
May 01, 2019 
Optical Imaging via Inverse Scattering
Gang Bao (Zhejiang University)

Mathematics in Optical Imaging 
May 01, 2019 
Modulated Luminescence Tomography Plamen Stefanov (Purdue University) 
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 
Stationary inverse problems for transport
Francois Monard (University of California, Santa Cruz)

Mathematics in Optical Imaging 
May 02, 2019 
Recovering Space Inhomogeneities by Means of Boltzmann Poison Systems Irene Gamba (The University of Texas at Austin) 
Mathematics in Optical Imaging 
April 29, 2019 
Accelerating 4D PhotoAcoustic Tomography Simon Arridge (University College London) 
Mathematics in Optical Imaging 
April 29, 2019 
Superresolution and Inverse Problems with Internal Sources John Schotland (University of Michigan) 
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 
April 29, 2019 
Uncertainty Characterization in ModelBased Inverse and Imaging Problems Kui Ren (Columbia University) 
Mathematics in Optical Imaging 
May 02, 2019 
Stability for quantitative Photoacoustic tomography revisited Faouzi Triki (Université GrenobleAlpes) 
Mathematics in Optical Imaging 
April 29, 2019 
Multifrequency acoustooptic tomography Francis Chung (University of Kentucky) 
Mathematics in Optical Imaging 
May 02, 2019 
Quantitative analysis of metal artifacts in Xray tomography Yiran Wang (Stanford University) 
Mathematics in Optical Imaging 
May 01, 2019 
Lecture Francois Monard (University of California, Santa Cruz) 
Mathematics in Optical Imaging 
April 29, 2019 
Inverse Problem for Kinetic Equations Weiran Sun (Simon Fraser University) 
Mathematics in Optical Imaging 
May 02, 2019 
Photoacoustic tomography in attenuating acoustic media Benjamin Palacios (University of Chicago) 
Mathematics in Optical Imaging 
April 30, 2019 
Photoacoustic Computed Tomography in Heterogeneous Acoustic Media: Status and Open Challenges Mark Anastasio (University of Illinois at UrbanaChampaign) 
Mathematics in Optical Imaging 
May 03, 2019 
A stability estimate for the inverse electroseismic problem Eric Bonnetier (Université GrenobleAlpes) 
Mathematics in Optical Imaging 
April 30, 2019 
Lecture: A General Theory of Xray Grating Interferometer with Arbitrary Grating Combinations GuangHong Chen (University of Wisconsin Medical School) 
Mathematics in Optical Imaging 
May 03, 2019 
Some Mathematics of the Fluorescence Ultrasound Modulated Optical Tomography Yang Yang (Michigan State University) 
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 
December 06, 2018 
Thompson Sampling for learning in online decision making Shipra Agrawal (Columbia University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 04, 2018 
Reducing Exploration in Personalized DecisionMaking Mohsen Bayati (Stanford University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 03, 2018 
Absenteeism Prediction and Extraboard Driver Scheduling for Bus Transit Operations Qie He (University of Minnesota, Twin Cities) 
From Theory to Practice: Datadriven Supply Chain Management 
December 03, 2018 
Retail Supply Chain at Target Scale Kaveh Khodjasteh (Target Corporation) 
From Theory to Practice: Datadriven Supply Chain Management 
December 03, 2018 
The Supply Chain Management Challenges of the Future in Agriculture Jorge Guanter (Cargill, Inc.) 
From Theory to Practice: Datadriven Supply Chain Management 
December 03, 2018 
Inventory Balancing with Online Learning Xinshang Wang (Massachusetts Institute of Technology) 
From Theory to Practice: Datadriven Supply Chain Management 
December 04, 2018 
Datadriven Supply Chain Management at Huawei Tianxiao Chen (Huawei Technologies) 
From Theory to Practice: Datadriven Supply Chain Management 
December 04, 2018 
The Secret Behind Fast Delivery  From Inventory Management Perspective Rong Yuan (JD.COM) 
From Theory to Practice: Datadriven 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: Datadriven Supply Chain Management 
December 05, 2018 
Interpreting Predictive Models for HumanintheLoop Analytics Hamsa Bastani (Wharton School of the University of Pennsylvania) 
From Theory to Practice: Datadriven Supply Chain Management 
December 05, 2018 
Online Learning and DecisionMaking under Generalized Linear Model with HighDimensional Data Mike Wei (University at Buffalo (SUNY)) 
From Theory to Practice: Datadriven Supply Chain Management 
December 05, 2018 
Revenue Management and Pricing with Strategic (Forwardlooking) Customers Yiwei Chen (University of Cincinnati) 
From Theory to Practice: Datadriven Supply Chain Management 
December 06, 2018 
Simple Bayesian Algorithms for Pureexploration Dan Russo (Columbia University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 06, 2018 
Inventory Repositioning in OnDemand Product Rental Networks Xiaobo Li (National University of Singapore) 
From Theory to Practice: Datadriven Supply Chain Management 
December 06, 2018 
Statistical State Compression and PrimalDual Pi Learning Mengdi Wang (Princeton University) 
From Theory to Practice: Datadriven Supply Chain Management 
March 01, 2019 
Solar + Storage – Opportunities and Innovations Sohan Das (EVS, Inc.) 
Industrial Problems Seminar 
December 07, 2018 
When Seeing is not Believing: New Forensics Algorithms to Detect Image Manipulations Michael Albright (Honeywell) 
Industrial Problems Seminar 
September 14, 2018 
The Unfulfilled Fourth Industrial Revolution Marcus Braun (DataRobot) 
Industrial Problems Seminar 
February 22, 2019 
Industrial Problems in Digital Retail Samantha Schumacher (Target Corporation) 
Industrial Problems Seminar 
January 25, 2019 
Probabilistic Analysis of Operational Transit Data to Create Insights for Planners Eric Lind (Metro Transit) 
Industrial Problems Seminar 
September 28, 2018 
If a tree falls in the woods and nobody hears, does it make a sound? (Or, making sure your code runs anywhere.) Tyler Whitehouse (Gigantum) 
Industrial Problems Seminar 
March 15, 2019 
Infectious Disease Modeling in Public Health Karyn Sutton (The Institute for Disease Modeling) 
Industrial Problems Seminar 
May 03, 2019 
Startup vs. BigCo: Industry Experiences Compared Ben Peirce (Samsung Research America) 
Industrial Problems Seminar 
October 12, 2018 
Artificial Intelligence in a Material World Jennifer Schumacher (3M) 
Industrial Problems Seminar 
September 13, 2018 
ExxonMobil information sessions for Ph.D. students Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) 
Industrial Problems Seminar 
November 02, 2018 
Using Electronic Health Record Data for Clinical Analyses: Early Learnings Joao Montero (Medtronic) 
Industrial Problems Seminar 
September 14, 2018 
ExxonMobil information sessions for Ph.D. students Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) 
Industrial Problems Seminar 
September 17, 2018 
ExxonMobil information sessions for Ph.D. students Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) 
Industrial Problems Seminar 
November 16, 2018 
Advanced Dynamics Systems Analysis and Synthesis for Future Storage Challenges Raye Sosseh (Seagate Technology) 
Industrial Problems Seminar 
February 08, 2019 
Using Wearable Sensors to Predict Pain States Kyle Srivastava (Boston Scientific) 
Industrial Problems 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 29, 2019 
So, How Do You Get a Job? Chang Lee (Lowe's) 
Industrial Problems Seminar 
April 12, 2019 
Stating the Obvious  Job Search to Analytics Leadership Sandhya Surapanenii (Stratasys) 
Industrial Problems Seminar 
November 08, 2018 
Keynote Eric Laber (North Carolina State University) 
Statistical and Computational Challenges in Precision Medicine 
November 09, 2018 
A novel method to identify and prioritize drugs for an individual (N=1) based on clinical and multiomics data Krishna Kalari (Mayo Clinic) 
Statistical and Computational Challenges in Precision Medicine 
November 08, 2018 
Clustering MixedType Data Marianthi Markatou (University at Buffalo (SUNY)) 
Statistical and Computational Challenges in Precision Medicine 
November 08, 2018 
Group and Individual NonGaussian Components Analysis David S. Matteson (Cornell University) 
Statistical and Computational Challenges in Precision Medicine 
November 07, 2018 
How good is your selected subgroup? Xuming He (University of Michigan) 
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 07, 2018 
A Bayesian Imputation Approach to Optimizing Dynamic Treatment Regimes Thomas Murray (University of Minnesota, Twin Cities) 
Statistical and Computational Challenges in Precision Medicine 
November 08, 2018 
Learning Multirelations in Biomedical Networks and Tensors Rui Kuang (University of Minnesota, Twin Cities) 
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 08, 2018 
Adaptive testing on a highdimensional parameter with application to precision medicine Wei Pan (University of Minnesota, Twin Cities) 
Statistical and Computational Challenges in Precision Medicine 
November 07, 2018 
Thinking Causally About HighDimensional Databases Debashis Ghosh (University of Colorado Denver) 
Statistical and Computational Challenges in Precision Medicine 
November 08, 2018 
Statistical Inference of CovariateAdjusted Randomized Experiment Feifang Hu (George Washington University) 
Statistical and Computational Challenges in Precision Medicine 
November 07, 2018 
Analysis of implantable cardiac device diagnostics to tailor management of heart failure Tracy Bergemann (Medtronic) 
Statistical and Computational Challenges in Precision Medicine 
November 08, 2018 
Estimating and testing targeted mediation effect in the presence of highdimensional mediators Lei Liu (Washington University School of Medicine) 
Statistical and Computational Challenges in Precision Medicine 
November 07, 2018 
Digital Health and Big Data for Drug Development Ray Liu (Takeda Pharmaceuticals Inc.) 
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 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 
November 08, 2018 
Quantileoptimal Treatment Regimes with Censored Data Lan Wang (University of Minnesota, Twin Cities) 
Statistical and Computational Challenges in Precision Medicine 
November 07, 2018 
Optimal treatment and timing of routine surveillance in children after allogeneic hematopoietic cell transplantaion Zhezhen Jin (Columbia University) 
Statistical and Computational Challenges in Precision Medicine 
November 08, 2018 
Statistical Analysis of SMART Studies via Artifcial Randomization Abdus Wahed (University of Pittsburgh) 
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 07, 2018 
Poster session and reception
Zhengling Qi (University of North Carolina, Chapel Hill)

Statistical and Computational Challenges in Precision Medicine 
November 09, 2018 
OutcomeWeighted 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 
Clearning: 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 
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 07, 2018 
Estimating Causal (Personalized) Effects within Regulatory Tobacco Randomized Controlled Trials David Vock (University of Minnesota, Twin Cities) 
Statistical and Computational Challenges in Precision Medicine 
June 21, 2019 
Nonlinear mechanics of elastic structures: annuli Gert van der Heijden (Imperial College London) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 24, 2019 
On the analyticity of critical points of the Möbius energy Nicole Vorderobermeier (Universität Salzburg) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 17, 2019 
Nonlinear mechanics of elastic structures: rods Gert van der Heijden (Imperial College London) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 21, 2019 
Smoke Ring Flow Peter Schroeder (California Institute of Technology) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 21, 2019 
Molecular Biology Mysteries: Protein knotting and linking due to disulfide bonds Kenneth Millett (University of California, Santa Barbara) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 