All Times EDT
Viewing Track 'Influence' only
Thursday, October 7
Thu, Oct 7, 11:30 AM - 12:45 PM
Virtual
Virtual
CS1b - Strategies for the Workplace
Concurrent Session
Concurrent Session
Chair(s): Seema Sangari, Kennesaw State University
11:35 AM
Neurodiversity in the Workplace: My Autism Journey
Christine P. Chai, Microsoft
Christine P. Chai, Microsoft
11:55 AM
Resilience in STEM: Navigating Common Mental Traps
Laura Knapp Lancheros, Elder Research
Laura Knapp Lancheros, Elder Research
12:15 PM
On Becoming a Statistician/Data Scientist
Dalene Stangl, Carnegie Mellon University
Dalene Stangl, Carnegie Mellon University
Thu, Oct 7, 11:30 AM - 12:45 PM
Virtual
Virtual
CS1d - Building Your Influence
Concurrent Session
Concurrent Session
Chair(s): Brianna Hitt, United States Air Force Academy
CANCELLED: Intro to Open: Making an Impact with Your Research
Ande Catherine Nichols, Taylor & Francis Group
Ande Catherine Nichols, Taylor & Francis Group
11:35 AM
Stand Up to Stand Out: Self-Advocacy for the Reluctant
Susan Morris, Susan Morris Coaching
Susan Morris, Susan Morris Coaching
11:55 AM
Finding Our Purpose
Julia Jean Smith, Kaiser Permanente Washington Health Research Institute
Julia Jean Smith, Kaiser Permanente Washington Health Research Institute
Thu, Oct 7, 1:15 PM - 2:30 PM
Virtual
Virtual
CS2a - Which Path Should I Choose? A Discussion of Employment in Academia, Industry, Government, and Nonprofits
Panel Session
Panel Session
Chair(s): Amanda Allen Koepke, National Institute of Standards and Technology
Panelist(s): Claire McKay Bowen, Urban Institute; Lorena Maxwell, Eli Lilly; Julia Palacios, Stanford; Laura Yee, National Cancer Institute
1:20 PM
Which Path Should I Choose? A Discussion of Employment in Academia, Industry, Government, and Nonprofits
Amanda Allen Koepke, National Institute of Standards and Technology
Amanda Allen Koepke, National Institute of Standards and Technology
Thu, Oct 7, 1:15 PM - 2:30 PM
Virtual
Virtual
CS2b - Strategies for Successful Organizations
Concurrent Session
Concurrent Session
Chair(s): Ramadha Dilhani Piyadi Gamage, Western Washington University
1:20 PM
Building a Data Science Community
Lauren Stern, Audi of America
Lauren Stern, Audi of America
1:40 PM
Managing Organizational Change Fatigue in the Midst of Data Modernization
Rashida Dorsey, Federal Housing Finance Agency
Rashida Dorsey, Federal Housing Finance Agency
2:00 PM
Using the Customer Lifetime Value (CLV) to Avoid a Mad Tea Party
Fabiola Canas, Grupo Financiero Banorte
Fabiola Canas, Grupo Financiero Banorte
Thu, Oct 7, 2:45 PM - 4:00 PM
Virtual
Virtual
CS3a - It’s Never Too Early to Develop Leadership Skills
Panel Session
Panel Session
Chair(s): Mary D. Sammel, Colorado School of Public Health/CIDA
2:50 PM
It’s Never Too Early to Develop Leadership Skills
Nichole E. Carlson, Colorado School of Public Health/CIDA; Alexandra L. Hanlon, Virginia Tech; Leslie McClure, Drexel University; Sally C. Morton, Knowledge Enterprise, Arizona State University; Dionne Price, FDA/CDER; Mary D. Sammel, Colorado School of Public Health/CIDA
Nichole E. Carlson, Colorado School of Public Health/CIDA; Alexandra L. Hanlon, Virginia Tech; Leslie McClure, Drexel University; Sally C. Morton, Knowledge Enterprise, Arizona State University; Dionne Price, FDA/CDER; Mary D. Sammel, Colorado School of Public Health/CIDA
Friday, October 8
Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual
Virtual
CS5c - It's All About the Data
Concurrent Session
Concurrent Session
Chair(s): Jaime Lynn Speiser, Wake Forest School of Medicine
1:20 PM
The Interplay of Demographic Variables and Social Distancing Scores in the Deep Prediction of US COVID-19 Cases
Francesca Tang, Princeton University
Francesca Tang, Princeton University
1:40 PM
Extracting Scalar Measures from Functional Data with Missingness
Lanqiu Yao, New York University School of Medicine
Lanqiu Yao, New York University School of Medicine
2:00 PM
Sequential Pattern Mining of Electronic Health Record for Early Diagnosis of Amyotrophic Lateral Sclerosis
Cindy Liang, Texas Academy of Mathematics and Science
Cindy Liang, Texas Academy of Mathematics and Science
Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual
Virtual
CS6a - Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce: Machine Learning-Based Predictive Models for Assisting with COVID-19 Crisis
Panel Session
Panel Session
Chair(s): Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
Panelist(s): Kavita Dharmarajan, Icahn School of Medicine at Mount Sinai; Arash Kia, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Kim-anh-Nhi Nguyen, Icahn School of Medicine at Mount Sinai; Serena Zhan, Icahn School of Medicine at Mount Sinai
2:50 PM
Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce: Machine Learning-Based Predictive Models for Assisting with COVID-19 Crisis
Kavita Dharamrajan, Icahn School of Medicine at Mount Sinai; Arash Kia, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Kim-anh-Nhi Nguyen, Icahn School of Medicine at Mount Sinai; Serena Zhan, Icahn School of Medicine at Mount Sinai
Kavita Dharamrajan, Icahn School of Medicine at Mount Sinai; Arash Kia, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Kim-anh-Nhi Nguyen, Icahn School of Medicine at Mount Sinai; Serena Zhan, Icahn School of Medicine at Mount Sinai
Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual
Virtual
CS6d - This Is Statistics
Concurrent Session
Concurrent Session
Chair(s): Wenjing Li, University of California, Santa Barbara
2:50 PM
Assessing the Precision of a Polygon Approximation Methodology in Statistical Shape Analysis with Regard to a Classification Problem
Chalani Prematilake, East Carolina University
Chalani Prematilake, East Carolina University
3:10 PM
An Analysis of Estimators in Simulation Optimization-Based Feature Selection
Kimia Vahdat, North Carolina State University
Kimia Vahdat, North Carolina State University
3:30 PM
Multiclass Regularized Regression Integrating Prior Information
Jingxuan He, University of Southern California
Jingxuan He, University of Southern California