Program
Full program with abstracts
ISBIS 2017 Program with Abstracts
Poster abstracts
Wednesday June 7th 2017
8:45-9:00
0. Welcome Address, Auditorium
Dario Gil, Vice President, Science and Solutions, IBM Research
9:00-10:00
1. Keynote Address, Auditorium
Brenda L. Dietrich, IBM Fellow and VP, “Riding Technology Waves: Perspectives and Opportunities for Leveraging Data”
10:30-12:00
2. ASMBI Invited Session, Room CR3
Org/Chair: Emmanuel Yashchin, IBM Research
• Speaker 1: Christine Anderson-Cook, Los Alamos National Laboratory, ”Graphics to Facilitate Informative Discussion and Team Decision-Making”
• Speaker 2: Jennifer van Mullecom, Virginia Tech, Discussant
• Speaker 3: Tom Donnelly, SAS, Discussant
3. Statistical Models for Complex Data, Room 20-043
Org/Chair: Veronika Rockova, University of Chicago
• Speaker 1: Daniel Zantedeschi, The Ohio State University, ”An Interaction Analysis of Social Media and Traditional Platform Effects in the Consumer Purchasing Funnel”
• Speaker 2: Richard Hahn, University of Chicago, ”Bayesian Causal Forests”
• Speaker 3: Veronika Rockova, University of Chicago, ”Sparse Autoregressive Processes for Dynamic Variable Selection”
4. Recent Advances in Spatio-Temporal Statistical Modeling, Room 20-001
Org/Chair: Huijing Jiang, IBM Research
• Speaker 1: Marco Ferreira, Virginia Tech, ”Dynamic Multiscale Spatiotemporal Models for Poisson Data”
• Speaker 2: Rodrigue Ngueyep Tzoumpe, IBM Research, ”Spatially Fused Time-Varying Lattice Models for Agricultural Management Zoning”
• Speaker 3: Maria Terres, The Climate Corporation, “Spatio-Temporal Data Science at The Climate Corporation”
5. Statistical Applications in the Financial Services and Media Industries, Auditorium
Org/Chair: Aliza Heching, IBM Research
• Speaker 1: Arun Verma, Bloomberg, ”Quantitative Strategies Using Sentiment Classification of Financial News Using Statistical Techniques in Machine Learning”
• Speaker 2: Samer Takriti, Viking Global Inverstors, ”Multi-Factor Models: Risk and Attribution”
• Speaker 3: Rahel Jhirad, Hearst, “Applications of Machine and Deep Learning in Media”
14:00-15:30
6. Data-Driven Learning in Industrial Settings, Room 20-043
Org/Chair: Yada Zhu, IBM Research
• Speaker 1: Brian Quanz, IBM Research, ”Towards Cognitive Product Data Cleaning in e-Commerce”
• Speaker 2: Yingdong Lu, IBM Research, “Moderate Deviations in Cloud Computing via Stein-Chen Method”
• Speaker 3: Yada Zhu, IBM Research, ”An Efficient Graph Algorithm for Customer Return Prediction in e-Commerce Industry”
7. Statistics in the IT Industries, Auditorium
Org/Chair: David Banks, Duke University
• Speaker 1: Erin LeDell, H2O, ”Towards Scalable Automatic Machine Learning”
• Speaker 2: Timothy Au, Google, ”Random Forests, Decision Trees, and Categorical Predictors: The ‘Absent Levels’ Problem”
• Speaker 3: Xi Chen, LinkedIn, “Scalable Bayesian Modeling and Monitoring of Dynamic Network Flow Data with Online Advertising Applications”
8. Data Science for Decision Support, Room CR3
Org/Chair: Kay See Tan, Memorial Sloan Kettering Cancer Center
• Speaker 1: Nancy Hersh, Independent, ”Using analytics to measure and increase energy savings”
• Speaker 2: Karina Kervin, IBM Research, “Automated External Feature Sensitivity Scoring Tool”
• Speaker 3: Maxwell Shron, Warby Parker, ”Interfacing With Decision Makers Across Warby Parker”
16:00-17:30
9. Impact Measurement Methodologies, Auditorium
Org/Chair: Marianna Dizik, Google
• Speaker 1: Yuxue Jin, Google, ”Bayesian methods in media mix modeling”
• Speaker 2: Qing Wu, Google, ”Longitudinal approach to measure treatment impact”
• Speaker 3: Yongjian Kang, Google, ”Impact Measurement using SEM”
10. Applications of Data-Driven Decision Making, Room 20-043
Org/Chair: Tahir Ekin, Texas State University
• Speaker 1: Francis Mendez, Texas State University, ”Data-Intensive Time and Motion Studies for Manufacturing Operations”
• Speaker 2: Sitki Gulten, Stockton University, ”High-Frequency Trading in Risk-Averse Portfolio Optimization with Higher-Order Risk Measures”
• Speaker 3: Tahir Ekin, Texas State University, ”Data-driven pre-screening of claims for medical audits”
11. Reliability, CR3
Org/Chair: Kassie Fronczyk, Institute for Defense Analyses
• Speaker 1: James Gilman, North Carolina State University, ”Reliability Assessment of Multiple Component Systems Using Bayesian Hierarchical Models”
• Speaker 2: Saurabh Mishra, International Finance Corporation, World Bank Group, University of Maryland College Park, ”Economic Complexity and Globalization of Services”
• Speaker 3: Vincent Raja Anthonisamy, University of Guyana, ”Reliability Modeling Incorporating Load Share and Frailty”
Thursday June 8th, 2017
9:00-10:00
1. Keynote Address, Auditorium
Merlise A. Clyde, Professor of Statistical Science, Duke University, “Bayesian Model Choice: Past, Present, Future”
10:30-12:00
2. From Samples to Target Populations, Room 20-043
Org/Chair: Chaitra H. Nagaraja, Fordham University
• Speaker 1: Frank Yoon, IBM Watson Health, ”Observational Methods for Health Policy Decision-Making”
• Speaker 2: Elizabeth Tipton, Teachers College, Columbia University, ”Designing randomized trials for making generalizations to policy-relevant populations”
• Speaker 3: Chaitra H. Nagaraja, Fordham University, ”An instrumental variable approach to generalizing experimental results”
3. Statistics Engineering at Facebook, Room CR3
Org/Chair: Daniel Merl, Facebook
• Speaker 1: Ben Letham, Facebook, ”Forecasting at Scale”
• Speaker 2: Brian Karrer, Facebook, ”Bayesian optimization for infrastructure systems”
• Speaker 3: John Myles White, Facebook, ”Challenges of A/B Testing at Facebook”
4. Spatio-Temporal Statistics for Environmental Sciences and Climatology, Auditorium
Org/Chair: Huijing Jiang, IBM Research
• Speaker 1: Candace Berrett, Brigham Young University, ”Bayesian Spatio-Temporal Factor Analysis for Prediction”
• Speaker 2: Taps Maiti, Michigan State University, ”Spectral Radiance in Climate Study”
• Speaker 3: Lloyd Treinish, The Weather Company & IBM Research, ”Coupled Physical and Statistical Models for Renewable Energy Integration”
14:00-15:30
5. Bayesian Analysis for Large and Complex Data, Room CR3
Org/Chair: Tamara Broderick, MIT
• Speaker 1: Barbara Engelhardt, Princeton University, “Online Patient Monitoring Using Medical Time Series Data”
• Speaker 2: Katherine Heller, Duke University, ”Machine Learning for Improving Healthcare”
• Speaker 3: Tamara Broderick, MIT, ”Approximate Sufficient Statistics for Scalable Bayesian Inference”
6. Machine Learning with Mixed Data Types, Auditorium
Org/Chair: Bonnie Ray, Arena
• Speaker 1: Elizabeth Schifano, University of Connecticut, ”Variable selection for correlated bivariate mixed outcomes using penalized generalized estimating equations”
• Speaker 2: Marianthi Markatou, Dept. of Biostatistics, University at Buffalo, ”A Semiparametric Method for Clustering Mixed Data”
• Speaker 3: Naveen Naidu Narisetty, University of Illinois at Urbana-Champaign, “Scalable Computation with Skinny Gibbs Sampler for High Dimensional Bayesian Models”
7. Web Applications in Statistics and Machine Learning, Room 20-043
Org/Chair: Cheryl Flynn, AT&T Labs Research
• Speaker 1: Shawndra Hill, Microsoft Research, ”Television and Digital Advertising: Second Screen Response and Coordination with Sponsored Search”
• Speaker 2: Roman Vaculin, IBM Research, “Blockchain and Ledger Analytics”
• Speaker 3: Zhenming Liu, College of William and Mary, “From Which World Is Your Graph?”
• Speaker 4: Cheryl Flynn, AT&T Labs, ”Deconstructing Domain Names to Reveal Latent Topics”
16:00-17:30
8. Data Tales from Industry, Auditorium
Org/Chair: Claudia Perlich, Dstillery
• Speaker 1: Jon Krohn, Untapt, ”Match Making for Tech Jobs”
• Speaker 2: Peter E Lenz, Dstillery, ”You are probabilistically here: Lessons from working with mobile device generated geodata”
• Speaker 3: Ravi Shroff, New York University, ”Improving Police Stop Efficiency in New York City”
9. Statistical Methods in Medicine, Room CR3
Org/Chair: Rebecca Yates Coley, Group Health Research Institute
• Speaker 1: Lindsay Berry, Duke University, ”Simulation Controlled Seamless Phase II/III Clinical Trials”
• Speaker 2: Sandy Griffith, Flatiron Health, ”Unlocking real-world oncology data using electronic health records”
• Speaker 3: Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute, ”A Data Science Framework for Learning Health Systems”
10. Data Driven Semi-Parametric Models, 20-043
Org/Chair: Emre Barut, George Washington University
• Speaker 1: Harlan Harris, WeWork, ”Predicting Class Size for Fun and Profit with Semi-parametric Regression Models”
• Speaker 2: Youngdeok Hwang, IBM Research, ”Bayesian Pollution Source Identification via an Inverse Physics Model”
• Speaker 3: Emre Barut, George Washington University, ”An Efficient Method for Parameter Estimation Under Model Contamination”
Friday June 9th, 2017
9:00-10:00
1. Keynote Address, Auditorium
Moorea Brega, Sr. Director, Data Science, Premise Data, “When Less is More: Adaptive Data Collection for Economic Indicators”
10:30-12:00
2. Panel Discussion: Succeeding as an Early-Career Data Scientist in Today’s Industry, Room 20-001
Org/Chair: Grant Weller, Savvysherpa
• Speaker 1: Mattia Ciollaro, Spreemo Health, Panel discussant 1
• Speaker 2: Reka Daniel-Weiner, Dstillery, Panel discussant 2
• Speaker 3: Ryan Roundy, Oracle, Panel discussant 3
3. Novel Hierarchical Bayesian Approaches for Business and Government Applications, Auditorium
Org/Chair: Nalini Ravishanker, University of Connecticut
• Speaker 1: Sujit K. Ghosh, NCSU and SAMSI, “Regression and Reliability Models for Predicting Customer Churning”
• Speaker 2: Scott Holan, University of Missouri and US Census Bureau, ”Multivariate spatio-temporal survey fusion with application to the American Community Survey and Local Area Unemployment Statistics”
• Speaker 3: Nalini Ravishanker, University of Connecticut, “Dynamic Models for Multivariate Times Series of Counts”
4. New Statistical Methods for Stochastic Volatility and Functional Data in Finance and Engineering, Room 20-043
Org/Chair: Mengyang Gu, Johns Hopkins University
• Speaker 1: Jian Zou, Worcester Polytechnic Institute, ”Efficient Portfolio Allocation with Sparse Volatility Estimation for High-Frequency Financial Data”
• Speaker 2: Xinyi Xu, Ohio State University, ”Shape-constrained Semiparametric Additive Stochastic Volatility Models”
• Speaker 3: Mengyang Gu, Johns Hopkins University, ”Robust Gaussian Stochastic Process”
5. Analytics Promoting Social Good: Money Access, Housing and Health, Room CR3
Org/Chair: Marian Farah, The Climate Corporation
• Speaker 1: Ankur Gupta, Premise Data, ”Route-based data collection to determine mobile money access in Africa”
• Speaker 2: Ryan Brady, Apteligent, ”Risk factors for eviction in rapidly developing cities”
• Speaker 3: Kush Varshney, IBM Research, ”A Bayesian Approach for Predicting Neotropical Primate Reservoirs of Zika Virus”
