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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: high-dimensional returned 117 record(s)
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Sunday, 07/30/2017
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Approximate Message Passing Algorithms for High-Dimensional Regression
Cynthia Rush, Columbia University
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Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression
Lei Ding, Indiana University; Daniel J. McDonald, Indiana University
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ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data
Jacqueline J Meulman, Leiden University
2:05 PM
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On the Asymptotic Performance of Bridge Estimators
Arian Maleki, Columbia Univ; Haolei Weng, Columbia University; Shuaiwen Wang, Columbia University
2:05 PM
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Matrix Completion with Covariate Information
Xiaojun Mao, Iowa State University; Song Xi Chen, Iowa State University; Raymond Wong, Iowa State University
2:20 PM
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Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data
Jay Magidson, Statistical innovations
2:30 PM
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Nonparametric Bayes Multiresolution Testing for High-Dimensional Rare Events
Jyotishka Datta, University of Arkansas, Fayetteville; David Dunson, Duke University
2:45 PM
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New Problem Settings for Predictive Modeling of High-Dimensional Data
Vladimir Cherkassky, University of Minnesota
2:55 PM
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Testing High-Dimensional Mean Under Weak Serial Dependence
Runmin Wang, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
3:20 PM
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Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model
Jianqing Fan, Princeton University; Donggyu Kim, Princeton University
4:05 PM
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Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
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Constrained Factor Model for High-Dimensional Matrix-Variate Time Series
Yi Chen, Rutgers Univ Statistics Dept; Rong Chen, Rutgers University
4:25 PM
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A New Scope of Penalized Empirical Likelihood with High-Dimensional Estimating Equations
Chengyong Tang, Temple University; Jinyuan Chang, Southwestern University of Finance and Economics; Tong Tong Wu, University of Rochester
4:25 PM
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Finding needles in a haystack? Covariate Information for Feature Screening in Ultrahigh-Dimensional Data
Debmalya Nandy, Penn State University; Francesca Chiaromonte, Penn State University; Runze Li, The Pennsylvania State University
4:50 PM
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Testing and Scoring High-dimensional Covariance Matrices When Heteroscedasticity is Present
Xinghua Zheng, HKUST; Xinxin Yang, HKUST; Jiaqi Chen, Harbin Institute of Technology; Hua Li, Chang Chun University
5:20 PM
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Monday, 07/31/2017
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A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida
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High-Dimensional Mediation Analysis of the Effect of Varenicline on Alcohol Consumption in Mice
John J. Dziak, Penn State University; Arielle Deutsch, Penn State University; Runze Li, The Pennsylvania State University; Helen M. Kamens, Penn State University
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Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
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Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang
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Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama
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A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida
8:40 AM
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On Reject and Refine Options in Multicategory Classification
Chong Zhang, Seattle, Washington ; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
8:55 AM
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Data-Driven Penalization for High-Dimensional Regression and Classification Using External Covariates
Britta Velten, EMBL Heidelberg; Wolfgang Huber, EMBL Heidelberg
9:15 AM
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Bayesian Multi-Study Factor Analysis in High-Dimensional Biological Data
Roberta De Vito, Princeton
9:15 AM
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Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang
9:20 AM
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Empirical Bayes Learning from Co-Data in High-Dimensional Prediction Settings
Mark Van De Wiel, VU University medical center
9:35 AM
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Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama
9:55 AM
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Selected Model Averaging in High-Dimensional Linear Regression
Craig Rolling, Saint Louis University; Yongli Zhang, University of Oregon
10:05 AM
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High-Dimensional Propensity Score via Covariate Balancing
Yang Ning, Cornell University; Sida Peng, Cornell University ; Kosuke Imai, Princeton University
10:35 AM
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Discovering Linked Dimensions of Psychopathology and Dysconnectivity in High-Dimensional Brain Networks
Theodore Satterthwaite, Univ of Pennsylvania; Cedric H Xia, UPenn; Rastko Ciric, University of Pennsylvania; Zongming Ma, University of Pennsylvania; Russell Taki Shionhara, UPenn; Richard Betzel, UPenn; Monica E Calkins, UPenn; Phillip A Cook, UPenn; Angel Garcia de la Garza, UPenn; Tyler M Moore, UPenn; David Roalf, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Daniel H Wolf, UPenn; Raquel E Gur, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Danielle S Bassett, UPenn
10:35 AM
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High-Dimensional Mediation Analysis of the Effect of Varenicline on Alcohol Consumption in Mice
John J. Dziak, Penn State University; Arielle Deutsch, Penn State University; Runze Li, The Pennsylvania State University; Helen M. Kamens, Penn State University
11:05 AM
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Bootstrapping Spectral Statistics in High Dimensions
Miles Lopes, UC Davis; Alexander Aue, University of California, Davis; Andrew Blandino, UC Davis
11:05 AM
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Randomized Dual Rotations for High-Dimensional Outlier Detection
Jeongyoun Ahn, University of Georgia; Hee Cheol Chung, University of Georgia; Myung Hee Lee, Weill Cornell Medical College
11:20 AM
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Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
11:20 AM
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ODE Reconstruction of High-Dimensional Genetic Networks Through Game Theory
Rongling Wu, Pennsylvania State University; Libo Jiang, Beijing Forestry University
11:25 AM
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Conditional Means of Low-Dimensional Projections from High-Dimensional Data: Explicit Error Bounds
Ivana Milovic, University of Vienna; Hannes Leeb, University of Vienna
11:35 AM
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Embracing the Blessing of Dimensionality in Factor Models
Quefeng Li, The University of North Carolina at Chapel Hill; Guang Cheng, Purdue; Jianqing Fan, Princeton University; Yuyan Wang, Princeton University
12:05 PM
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Graph-Based Sparse Linear Discriminant Analysis for High-Dimensional Classification
Jianyu Liu, University of North Carolina at Chapel Hill; Guan Yu, State University of New York at Buffalo; Yufeng Liu, University of North Carolina
2:05 PM
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FUNctioNal ELastic-Net (FUNNEL) Pipeline for Gene Set Enrichment Analysis with Overlapping
Yun Zhang, University of Rochester; Juilee Thakar, University of Rochester; Xing Qiu, University of Rochester
2:05 PM
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Statistical Inference for Model Parameters in Stochastic Gradient Descent
Yichen Zhang, New York University; Xi Chen, NYU; Jason D. Lee, University of Southern California; Tong Thomson Xin, National University of Singapore
2:25 PM
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High-Dimensional Multivariate Mediation with Application to Neuroimaging Data
Martin Lindquist, Johns Hopkins University
2:30 PM
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Variable Selection for High-Dimensional Spatial Regression Models
Abolfazl Safikhani, Columbia University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
2:50 PM
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Strong Sure Screening of Ultra-High-Dimensional Categorical Data Exhibiting Trend
Randall Reese, Utah State University; Guifang Fu, Utah State University; Xiaotian Dai, Utah State University
2:50 PM
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Unified Methods for Variable Selection in Large-Scale Genomic Studies with Censored Survival Outcomes
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
3:05 PM
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High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
Satyajit Ghosh, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
3:05 PM
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Robust Network-Based Regularization and Variable Selection for High-Dimensional Genomic Data in Cancer Prognosis
Jie Ren, Department of Statistics, Kansas State University; Yinhao Du, Department of Statistics, Kansas State University; Dewey Molenda, Department of Statistics, Kansas State University; Yu Jiang, School of Public Health, University of Memphis; Wu Cen, Department of Statistics, Kansas State University
3:05 PM
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Variable Selection for Expanding Covariate Space and High-Dimensional Discrete Spatial Data
Abdhi Sarkar, Michigan State University; Chae Young Lim , Seoul National University; Tapabrata Maiti, Michigan State University
3:05 PM
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Block Conditioning Approximations Based on Hierarchical Decompositions for High-Dimensional Multivariate Normal Probabilities
Jian Cao; Marc G. Genton, KAUST; David Keyes, King Abdullah University of Science and Technology; George Turkiyyah, American University of Beirut
3:20 PM
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High-Dimensional Functional Data
Juan Romo, Universidad Carlos III de Madrid; Ana Arribas-Gil, Universidad Carlos III de Madrid
3:25 PM
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Discriminant Analysis for High-Dimensional Spatio Temporal Data
Rejaul Karim, Michigan State University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
3:35 PM
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Tuesday, 08/01/2017
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A Revisit to Nonlocal Method in High-Dimensional Subset Modeling
Ho-Hsiang Wu, National Cancer Institute, NIH; Yuanyuan Bian, University of Missouri
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High-Dimensional Discriminant Analysis Using Singular Wishart Distribution
Samprit Banerjee, Weill Medicine College of Cornell University; Stefano Monni, American University of Beirut, Lebanon
8:35 AM
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High-Dimensional Mediation Analysis with Latent Factors
Andriy Derkach, NIH-National Cancer Institute; Ting-Huei Chen, Université Laval; Joshua Sampson, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:50 AM
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Sequential Monte Carlo for Dynamic Latent Space Networks
Kathryn Turnbull, Lancaster University; Matthew Nunes, Lancaster University; Christopher Nemeth, Lancaster University; Tyler McCormick, University of Washington
9:05 AM
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On the Similarity of Principal Components, Random Projections and Random Column Subsampling for Dimension Reduction in High-Dimensional Linear Regression
Martin Slawski, George Mason Univ
9:05 AM
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Adaptive Ensemble Kalman Filters for Online Bayesian State and Parameter Estimation
Jonathan Stroud, Georgetown University; Matthias Katzfuss, Texas A&M University; Christopher Wikle, University of Missouri
9:15 AM
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An Application of High-Dimensional Multiclass Classification Methods to Listeria Monocytogenes Whole Genome Multilocus Sequence Typing Data
Sunkyung Kim, Centers for Disease Control and Prevention; Gordana Derado, Centers for Disease Control and Prevention; Anna J Blackstock, Centers for Disease Control and Prevention; Conrad Amanda, Centers for Disease Control and Prevention; Heather Carleton, Centers for Disease Control and Prevention
9:20 AM
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Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation
Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I; Stijn Vansteelandt, Ghent University
9:35 AM
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"Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data
Reagan M Rose, Harvard University; Luke Miratrix, Harvard University; Aaron Kaufman, Harvard University; Jason Anastasopoulos, University of Georgia
9:50 AM
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Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection
Faming Liang, University of Florida
10:35 AM
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4. Bayesian Integrative Model for Deciphering High-Dimensional Genotype-Phenotype Map
Chuanhua Julia Xing, XPrecision; Andrew Raim, U.S. Census Bureau
10:35 AM
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Ultra-High-Dimensional Genome-Wide Heritability Analysis with Neuroimaging Phenotypes
Yize Zhao, Weill Cornell Medicine, Cornell University
11:00 AM
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Causal Structure Learning in High-Dimensional Settings
Preetam Nandy, University of Pennsylvania
11:05 AM
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Time Series Prediction and Predictor Selection in High-Dimensional Quantile Autoregressive Regression
Dawit Zerom, California State University at Fullerton
11:05 AM
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High-Dimensional Function-On-Scalar Regression with Application to Genetic Association Studies
Matthew Reimherr, Penn State; Alice Parodi, Politecnico di Milano
11:15 AM
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High-Dimensional Bayesian Computation for Censored Quantile Regression
Naveen N Narisetty, University of Illinois at Urbana-Champaign; Xuming He, University of Michigan
11:25 AM
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Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Data Analysis
Tony Cai, University of Pennsylvania; Anru Zhang, University of Wisconsin-Madison
11:25 AM
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Hypothesis testings on high-dimensional individualized treatment rules
Young-Geun Choi, Fred Hutchinson Cancer Research Center; Yang Ning, Cornell University; Yingqi Zhao, Fred Hutchinson Cancer Research Center
11:50 AM
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A Regularized Bayesian Approach to Direct and Indirect Effects When Both Exposure and Mediator Are High-Dimensional
Yu-Bo Wang, National Institutes of Health; Zhen Chen, NICHD; Germaine M. Louis, NICHD
2:05 PM
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Model-Selection Consistency of Forward Selection in High-Dimensional Regression
Jerzy Wieczorek, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
2:20 PM
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Models for Microbial Community Population Structure
Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Emma Schwager, Harvard School of Public Health; Boyu Ren, Harvard T.H. Chan School of Public Health; Eric A Franzosa, Harvard T.H. Chan School of Public Health
2:30 PM
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High-Dimensional Cointegration Analysis
Alexei Onatski, University of Cambridge
2:30 PM
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On Structure Testing for Component Covariance Matrices of a High-Dimensional Mixture
Jianfeng YAO, The University of Hong Kong; Weiming Li, Shanghai University of Finance and Economics
2:55 PM
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Asymptotic Distribution Free Change-Point Detection for Modern Data
Lynna Chu, University of California, Davis; Hao Chen, University of California, Davis
3:05 PM
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Identifiability and Inference of Causal Effects with High-Dimensional and Invalid Instruments
Changjing Wu, Peking University; Minghua Deng, Peking University; Wei Lin, Peking University
3:20 PM
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What's Happening in Selective Inference I?
Emmanuel J. Candes, Stanford University
4:05 PM
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Wednesday, 08/02/2017
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Exploring High-Dimensional Feature Selection Using Reproducibility Methodology
Frank Shen, Penn State University
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Multiple change-point detection via multiscale MOSUM procedure with localised pruning
Haeran Cho, University of Bristol
8:35 AM
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Data-Adaptive Statistics for Multiple Hypothesis Testing in High-Dimensional Settings
Weixin Cai, University of California, Berkeley; Alan Hubbard, University of California, Berkeley
8:35 AM
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Marginal False Discovery Rates for Penalized Regression Models
Patrick Breheny, University of Iowa
8:35 AM
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Exploring High-Dimensional Feature Selection Using Reproducibility Methodology
Frank Shen, Penn State University
9:15 AM
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What's Happening in Selective Inference II?
Emmanuel J. Candes, Stanford University
10:35 AM
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Decorrelation of Covariates for High-Dimensional Sparse Regression
Yuan Ke, Princeton University; Jianqing Fan, Princeton University; Kaizheng Wang, Princeton University
10:50 AM
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Posterior Graph Selection and Estimation Consistency for High-Dimensional Bayesian DAG Models
Xuan Cao, University of Florida; Kshitij Khare, University of Florida; Malay Ghosh, University of Florida
10:50 AM
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Exploratory and Data Visualization Methods for High-Dimensional Brain Signals
Hernando Ombao, KAUST and UC Irvine; Yuxiao Wang, University of California, Irvine; Chee-Ming Ting, KAUST
11:00 AM
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Online Decision-Making with High-Dimensional Covariates
Hamsa Bastani, Stanford University; Mohsen Bayati, Stanford University
11:00 AM
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A Two-Sample Mean Test for China Haze Pollution Data Over Time
Shuyi Zhang, Peking University; Yumou Qiu, University of Nebraska-Lincoln; Song Xi Chen, Peking University; Iowa State University
11:05 AM
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Variable Selection for highly correlated predictors
Fei Xue, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
11:20 AM
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Bayesian High-Dimensional Linear Regression Under the Model Misspecification
Kyoungjae Lee, The University of Notre Dame; Minwoo Chae, The University of Texas at Austin; Lizhen Lin, The University of Notre Dame
11:20 AM
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Multiple Contrast Tests and Simultaneous Confidence Intervals in High-Dimensional Repeated Measures Designs
Frank Konietschke, University of Texas at Dallas
11:35 AM
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Regularized Estimation in Sparse Multivariate Regression for High-Dimensional DNA Methylation Data
Lei Liu, Northwestern University; Haixiang Zhang, Tianjin University; Grace Yoon, Northwestern University; Yinan Zheng, Northwestern University; Lifang Hou, Northwestern University; Wei Zhang, Northwestern University; Andrea Baccarelli, Columbia University
2:05 PM
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Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
2:05 PM
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A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices
Natalia Bailey, Monash University; Hashem Pesaran, University of Southern California and Trinity College, Cambridge; Vanessa Smith, University of York
2:05 PM
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Double Robust Matching Estimators for High-Dimensional Confounding Adjustment
Joseph Antonelli; Matthew Cefalu, RAND Corporation; Nathan Palmer, Harvard Medical School; Denis Agniel, RAND Corporation
2:05 PM
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A Moment Estimator for the GARCH-DCC Model: An Algorithm for Estimating Dynamic Functional Connectivity in High-Dimensional fMRI Data
Yuting Xu, Johns Hopkins Bloomberg SPH; Martin Lindquist, Johns Hopkins University
2:05 PM
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A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM
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An Adaptive Test on High-Dimensional Parameters in Generalized Linear Models
Chong Wu, University of Minnesota; Wei Pan, University of Minnesota; Gongjun Xu, University of Michigan
2:20 PM
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Statistical Modeling of Large-Scale Neural Ensembles
Shizhe Chen, Columbia University; Ali Shojaie, University of Washington; Eric Shea-Brown, University of Washington; Daniela Witten, University of Washington
2:30 PM
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High-Dimensional Precision Medicine from Patient Derived Xenograft Data
Naim Rashid, University of North Carolina at Chapel Hill; Jingxiang Chen, University of North Carolina at Chapel Hill; Michael Lawson, University of North Carolina at Chapel Hill; Daniel Luckett, University of North Carolina at Chapel Hill; Longshaokan Wang, North Carolina State University; Eric Laber, North Carolina State University; Yufeng Liu, University of North Carolina; Jen Jen Yeh, University of North Carolina at Chapel Hill; Donglin Zeng, University of North Carolina; Michael R Kosorok, University of North Carolina at Chapel Hill
2:35 PM
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Knowing Factors or Factor Loadings, or Neither? Evaluating Estimators of Large Covariance Matrices with Noisy and Asynchronous Data
Kun Lu, Princeton University; Chaoxing Dai, Booth School of Business University of Chicago; Dacheng Xiu, University of Chicago
2:50 PM
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Thursday, 08/03/2017
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A Flexible Non-parametric Framework for High-Dimensional Multi-way Data
Zhaoxia Yu, University of California, Irvine; Tong Shen, University of California, Irvine; Dustin Pluta, University of California, Irvine; Hernando Ombao, University of California, Irvine; King Abdullah University of Science and Technology
8:35 AM
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What's Happening in Selective Inference III?
Emmanuel J. Candes, Stanford University
8:35 AM
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Optimal Estimation of Co-Heritability in High-Dimensional Linear Models
Zijian Guo, University of Pennsylvania, Wharton School; Wangjie Wang , National University of Singapore ; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
8:35 AM
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On the Estimation of Ultra-High-Dimensional Semiparametric Gaussian Copula Models
Qing Mai
8:35 AM
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Bayesian Variable Selection for High-Dimensional Genomic Data with Survival Response
Amir Nikooienejad, Texas A&M University; Valen Johnson, Texas A&M University
8:50 AM
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Integrated Powered Density: Screening Utrahigh-Dimensional Covariates with Survival Outcomes
Hyokyoung (Grace) Hong, Michigan State University; Yi Li, University of Michigan; Xuerong Chen, Southwest University of Finance and Economics
9:15 AM
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Leaning Multivariate High-Dimensional Point Process Models
Garvesh Raskutti, University of Wisconsin-Madison
9:25 AM
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Homogeneity Test of Covariance Matrices with High-Dimensional Longitudinal Data
Pingshou Zhong, Michigan State University; Runze Li, The Pennsylvania State University
9:35 AM
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Eigenvalues of Covariance Matrices of High-Dimensional Time Series
Alexander Aue, University of California, Davis; Haoyang Liu, University of California, Berkeley; Debashis Paul, University of California, Davis
9:50 AM
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Nonparametric Conditional Graphical Models with High-Dimensional Predictors
Yi Li, University of Michigan
9:55 AM
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New Insights About High-Dimensional Statistical Inference
Lingzhou Xue, The Pennsylvania State University; Danning Li, Jilin University
9:55 AM
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Practical Bayesian inference based on Nearest Neighbor Gaussian Processes (NNGP) model for massive spatial data
Lu Zhang, UCLA; Abhirup Datta, Johns Hopkins University; Sudipto Banerjee, UCLA Fielding School of Public Health
10:05 AM
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Screening Strategies for Reconstructing Brain Connectivity Networks with Multivariate Hawkes Process
Ali Shojaie, University of Washington; Shizhe Chen, Columbia University; Daniela Witten, University of Washington
10:55 AM
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Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data
Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Yinge Sun, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University
11:00 AM
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Computationally Efficient Bayesian Estimation of High-Dimensional Copulas with Discrete and Mixed Margins
Robert Kohn, University of New South Wales
11:00 AM
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FDR Control of the High-Dimensional TOST Tests
Jing Qiu, University Of Delaware; Yue Qi, SAS
11:05 AM
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Powerful, Fast, and Robust Family-Wise Error Control for Neuroimaging
Simon Vandekar, University of Pennsylvania; Theodore Satterthwaite, Univ of Pennsylvania; Adon Rosen, University of Pennsylvania; Rastko Ciric, University of Pennsylvania; David Roalf, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
11:15 AM
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