Panel on Career Development Skillsets for a Successful Statistician

Organizer: Satrajit Roychoudhury, Novartis Pharmaceutical
Moderator: Amarjot Kaur, IISA president and Executive Director, Merck & Co
Time: Friday, 10:30–12:00
Room: LInC 128


Panelists

Mousumi Banerjee, Professor, University of Michigan

Susmita Datta , Professor, University of Florida

John  Eltinge, Associate Commissioner, Bureau of Labor Statistics

Lisa Lupinacci, Associate Vice President, Late Development Statistics, Merck and Co.

Sastry G. Pantula, Dean, College of Science, Oregon State University

Shanthi Sethuraman, Senior Director, Diabetes-Endocrine Clinical Statistics, Eli Lilly and Company

Ram Tiwari, Director, Division of Biostatistics, FDA

 

Feature selection for high dimensional data

Organizer: Subhashis Ghoshal, North Carolina State University
Chair: Jyotishka Datta, Duke University.
Time: Friday, 10:30–12:00
Room: LInC 268


10:30-11:00

Structure identfiication from incomplete cryo-EM reconstructions

Kingshuk Roy Choudhury, Duke University


11:00-11:30

Penalized Euclidean Distance Regression

Tanujit Dey, Cleveland Clinic Foundation


11:30-12:00

Oracle convergence rates for Bayesian density regression in high dimensional spaces

Subhashis Ghoshal, North Carolina State University

Recent developments in nonparametric statistics and their applications

Organizer: Xiangrong Yin, University of Kentucky
Chair: Yuan Jiang, Oregon State University
Time: Friday, 10:30–12:00
Room: LInC 210

A nonparametric graphical model for functional data with application to  brain networks based on  fMRI

Bing Li, Penn State University


11:00-11:30

Matrix-variate regressions and envelope models

Shanshan Ding, University of Delaware


11:30-12:00

Pseudo sufficient dimension reduction and variable selection

Wenbo Wu, University of Oregon

Modeling and Analysis of Queueing Systems

Organizer: Arka Ghosh, Iowa State University
Chair: Srinivasan Balaji, George Washington University
Time: Friday, 10:30–12:00
Room: LInC 368


10:30-11:00

On the Control of Fork-Join Networks

Amy Ward, University of Southern California


11:00-11:30

Asymptotically Optimal Control of N-Systems with Many-Server and H_2^* Service Times

Arka Ghosh, Iowa State University


11:30-12:00

Diffusion Approximations for Double-ended Queues with Reneging in Heavy Traffic

Xin Liu, Clemson University

Ecological applications in statistics

Organizer: Leigh Ann Starcevich, Western EcoSystems Technology, Inc.
Chair: Sanjay Chaudhuri, National University of Singapore
Time: Friday, 10:30–12:00
Room: LInC 302


10:30-11:00

Estimating occupancy rates with imperfect detection under complex survey designs

Tony Olsen, EPA


11:00-11:30

Trend Analysis for Complex Survey Designs

Leigh Ann Starcevich, Western EcoSystems Technology, Inc.


11:30-12:00

Sampling Hidden Populations Using Respondent-Driven Sampling

Katherine McLaughlin, Oregon State University

Statistical analysis of biomedical data

Organizer: Lan Xue, Oregon State University
Chair: Lan Xue, Oregon State University
Time: Friday, 10:30–12:00
Room: LInC 314


10:30-11:00

A concave pairwise fusion approach to subgroup analysis

Shujie Ma, University of California at Riverside


11:00-11:30

Evaluation of Immune Biomarkers as Principal Surrogate Endpoints in Vaccine Trials under a Multi-phase Sampling Framework

Ying Huang, Fred Hutchison/University of Washington Cancer Consortium


11:30-12:00

Cluster Analysis of Longitudinal Profiles

Annie Qu, University of Illinois at Urbana-Champaign

Statistical methods for single-cell analysis

Organizer: Raphael Gottardo, Fred Hutchinson Cancer Research Center
Chair: Duo Jiang, Oregon State University
Time: Friday, 10:30–12:00
Room: LInC 228


10:30-11:00

Statistical analysis of cellular heterogeneity using single-cell assays

Lynn Lin, Penn State University


11:00-11:30

Normalization, clustering, and differential expression of single-cell RNA-seq data

Davide Risso, Berkeley


11:30-12:00

MAST: A novel statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA-seq data

Raphael Gottardo, Fred Hutchinson Cancer Research Center