December 06, 2018 
Lecture Xiaobo Li (National University of Singapore) 
From Theory to Practice: Datadriven Supply Chain Management 
December 06, 2018 
Lecture Mengdi Wang (Princeton University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 06, 2018 
Lecture Shipra Agrawal (Columbia University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 03, 2018 
Lecture Kaveh Khodjasteh (Target Corporation) 
From Theory to Practice: Datadriven Supply Chain Management 
December 06, 2018 
Lecture Zizhuo Wang (University of Minnesota, Twin Cities) 
From Theory to Practice: Datadriven Supply Chain Management 
December 03, 2018 
Lecture Chaithanya Bandi (Northwestern University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 03, 2018 
Lecture 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 
Lecture Tianxiao Chen (Huawei Technologies) 
From Theory to Practice: Datadriven Supply Chain Management 
December 04, 2018 
Lecture Vishal Gaur (Cornell University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 04, 2018 
Lecture Rong Yuan (JD.COM) 
From Theory to Practice: Datadriven Supply Chain Management 
December 04, 2018 
Lecture Himabindu Lakkaraju (Stanford University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 05, 2018 
Lecture Mohsen Bayati (Stanford University) 
From Theory to Practice: Datadriven Supply Chain Management 
December 05, 2018 
Lecture 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 Tao Yao (Alibaba) 
From Theory to Practice: Datadriven Supply Chain Management 
December 05, 2018 
Lecture Yiwei Chen (University of Cincinnati) 
From Theory to Practice: Datadriven Supply Chain Management 
December 06, 2018 
Lecture Dan Russo (Columbia University) 
From Theory to Practice: Datadriven Supply Chain Management 
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 
January 25, 2019 
Lecture 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 
February 22, 2019 
Lecture Samantha Schumacher (Target Corporation) 
Industrial Problems Seminar 
October 12, 2018 
Artificial Intelligence in a Material World Jennifer Schumacher (3M) 
Industrial Problems Seminar 
November 02, 2018 
Using Electronic Health Record Data for Clinical Analyses: Early Learnings Joao Montero (Medtronic) 
Industrial Problems Seminar 
September 13, 2018 
ExxonMobil information sessions for Ph.D. students Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) 
Industrial Problems Seminar 
September 14, 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 
Lecture Karyn Sutton (The Institute for Disease Modeling) 
Industrial Problems Seminar 
September 17, 2018 
ExxonMobil information sessions for Ph.D. students Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) 
Industrial Problems Seminar 
March 08, 2019 
Lecture Kyle Srivastava (Boston Scientific) 
Industrial Problems Seminar 
March 29, 2019 
Lecture Chang Lee (Lowe's) 
Industrial Problems Seminar 
April 12, 2019 
Lecture Sandhya Surapanenii (Stratasys) 
Industrial Problems Seminar 
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 08, 2018 
Quantile Regression in Genetic studies Ying Wei (Columbia 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 
Learning Multirelations in Biomedical Networks and Tensors Rui Kuang (University of Minnesota, Twin Cities) 
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 
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 
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 
Statistical Inference of CovariateAdjusted Randomized Experiment Feifang Hu (George Washington University) 
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 
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 
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 
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 
Digital Health and Big Data for Drug Development Ray Liu (Takeda Pharmaceuticals Inc.) 
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 
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 
Statistical Analysis of SMART Studies via Artifcial Randomization Abdus Wahed (University of Pittsburgh) 
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 07, 2018 
Poster session and reception
Zhengling Qi (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 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 
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 16, 2018 
Some Remarks Robert Langlands (Institute for Advanced Study) 
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands 
November 14, 2018 
Eisenstein Series and Lfunctions Freydoon Shahidi (Purdue 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 
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 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 15, 2018 
The padic Langlands program Matthew Emerton (University of Chicago) 
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 
Shimura Varieties Sophie Morel (Princeton University) 
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 16, 2018 
HarishChandra characters and the local Langlands correspondence Tasho Kaletha (University of Michigan) 
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 
October 03, 2018 
Auction Design for ROIConstrained Buyers Ilan Lobel (New York University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 03, 2018 
Predicting with Proxies Hamsa Bastani (Wharton School of the University of Pennsylvania) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 03, 2018 
Interpretable Optimal Stopping Velibor Misic (University of California, Los Angeles) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 03, 2018 
Online Assortment Optimization with Reusable Resources Vineet Goyal (Columbia University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 03, 2018 
A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions Srikanth Jagabathula (New York University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 03, 2018 
Crowdsourcing Operations: Incentivizing Bike Angels in America David Shmoys (Cornell University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 04, 2018 
Approximation Algorithms for Network Revenue Management Huseyin Topaloglu (Cornell University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 04, 2018 
Smart Predict, then Optimize Adam Elmachtoub (Columbia University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 04, 2018 
Joint pricing and inventory control models with long lead times Xin Chen (University of Illinois at UrbanaChampaign) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 04, 2018 
Distributionally Robust Linear and Discrete Optimization with Marginals Karthik Natarajan (Singapore University of Technology and Design) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 04, 2018 
Closing the Gap: A Learning Algorithm for the LostSales Inventory System with Lead Times Cong Shi (University of Michigan) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 04, 2018 
Dynamic Assortment Planning under Various Discrete Choice Models Xi Chen (New York University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 05, 2018 
Where to find the next passenger on ehailing platform?  A reinforcement learning approach Sharon Di (Columbia University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 03, 2018 
Spotting Influential Customers for Targeted Offers: From Social to Nonsocial Georgia Perakis (Massachusetts Institute of Technology) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 05, 2018 
Design of Information Sharing Mechanisms in Service Systems Krishnamurthy Iyer (Cornell University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 03, 2018 
Procurement in the twenty first century: New approaches to old problems Awi Federgruen (Columbia University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 05, 2018 
SampleBased Optimal Pricing Omar Besbes (Columbia University) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 04, 2018 
Behavioral Analytics for Myopic Agents Philip Kaminsky (University of California, Berkeley) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 05, 2018 
OmniChannel Order Fulfillment: From Concept to Practice Vivek Farias (Massachusetts Institute of Technology) 
Forging a New Discipline: Datadriven Supply Chain Management 
October 15, 2018 
Free Component Analysis Raj Nadakuditi (University of Michigan) 
Data Science Seminar 
October 01, 2018 
Scalable Collaboration for Data Science Done in Open Source Tools and Frameworks Tyler Whitehouse (Gigantum) 
Data Science Seminar 
September 24, 2018 
Genetics of mRNA and Protein Expression in Large Yeast Populations Frank Albert (University of Minnesota, Twin Cities) 
Data Science Seminar 
November 12, 2018 
Learning from Highly Correlated Features using Graph Total Variation Rebecca Willett (University of Chicago) 
Data Science Seminar 
October 22, 2018 
Large Sample Asymptotics of Graphbased Methods in Machine Learning: Mathematical Analysis and Implications Nicolas GarciaTrillos (University of Wisconsin, Madison) 
Data Science Seminar 
August 10, 2018 
Mathematics of Big Data & Machine Learning Jeremy Kepner (Massachusetts Institute of Technology) 
Data Science Seminar 
October 29, 2018 
A Picture of the Energy Landscape of Deep Neural Networks Pratik Chaudhari (California Institute of Technology) 
Data Science Seminar 
December 10, 2018 
Lecture Lori Ziegelmeier (Macalester College) 
Data Science Seminar 
October 08, 2018 
A PDE Approach to a Prediction Problem Involving Randomized Strategies Nadejda Drenska (University of Minnesota, Twin Cities) 
Data Science Seminar 
November 05, 2018 
Solving Infinite Dimensional Optimization Problems with Convergence Guarantees Matthew Jacobs (University of California, Los Angeles) 
Data Science Seminar 
January 28, 2019 
Lecture Guanglin Xu (University of Minnesota, Twin Cities) 
Data Science Seminar 