Key:

Computational Statistics

Data Science Technologies

Data Visualization

Education

Machine Learning

Practice and Applications

Software

Thursday, May 30

Exhibits Open
SDSS Hours

Thu, May 30, 7:30 AM - 7:15 PM
Grand Ballroom Foyer

Registration
SDSS Hours

Thu, May 30, 8:00 AM - 6:00 PM
Grand Ballroom Foyer

Speed Mentoring
Special Session

Thu, May 30, 8:00 AM - 9:00 AM
Regency Ballroom AB

Are you looking for a quick way to make connections, solicit career advice, and develop professional relationships? Or maybe you want to provide advice and guidance to early-career statisticians and data scientists? Whether you are interested in mentoring or being mentored, you should consider participating in our new speed mentoring session. Mentees and mentors will have several short, one-on-one, career-focused conversations, followed by unstructured time to socialize and follow up. This is a great opportunity for both mentors and mentees to build their professional networks!

Note: Advance sign-up is required, so please see the SDSS 2019 Events page for details!

GS01 - Welcome and Keynote Address
General Session

Thu, May 30, 9:15 AM - 10:30 AM
Grand Ballroom E

Organizer(s): Kelly McConville, Reed College

Chair(s): Kelly McConville, Reed College

9:30 AM

Generalized Tensor Decompositions for Non-Normal Data
Presentation Tamara Kolda, Sandia National Laboratories

CS01 - Teaching Statistics More Effectively to a New Generation of Students
Invited

Thu, May 30, 10:30 AM - 12:05 PM
Grand Ballroom E

Organizer(s): Jo Hardin, Pomona College

Chair(s): Alejandra Castillo, Oregon State University

10:35 AM

Using GitHub with Statistics Undergraduates
Jo Hardin, Pomona College

11:05 AM

Salt Fat Acid Heat: An Alternative to Cookbook Statistics
Andrew Bray, Reed College

11:35 AM

Teaching Data Communication
Presentation Amelia McNamara, University of St. Thomas

CS02 - Deciphering Biological Systems via Innovative Statistical Learning Methods
Invited

Thu, May 30, 10:30 AM - 12:05 PM
Grand Ballroom I

Organizer(s): Tian Zheng, Columbia University

Chair(s): Kun Chen, University of Connecticut

10:35 AM

Differential Network Connectivity Analysis
Ali Shojaie, University of Washington

11:05 AM

Modeling Bias in Compositional Data
David Clausen, University of Washington

11:35 AM

Extracting Biological Signals by Controlled Variable Selection
Linxi Liu, Columbia University

CS03 - Open Source and Community
Invited

Thu, May 30, 10:30 AM - 12:05 PM
Grand Ballroom J

Organizer(s): Gabriela de Queiroz, IBM

Chair(s): David Smith, Microsoft

10:35 AM

Getting Involved in Scientific Open Source: Lessons from 7 Years of Growing the ROpenSci Community
Karthik Ram, UC Berkeley

11:05 AM

Sustainers of the Tidyverse
Presentation Mara Averick, RStudio

11:35 AM

Building a Community: The R-Ladies Story
Presentation Gabriela de Queiroz, IBM

CS04 - Recent Developments in Lower Rank Learning for Complex Data
Invited

Thu, May 30, 10:30 AM - 12:05 PM
Grand Ballroom K

Organizer(s): Xiao-Li Meng, Harvard University

Chair(s): Raymond Wong, Texas A&M University

10:35 AM

MCMC for Dempster-Shafer Statistical Inference
Ruobin Gong, Rutgers University

11:05 AM

Bayesian Analysis of the Covariance Matrix of a Multivariate Normal Distribution with a New Class of Priors
Dongchu Sun, University of Missouri

11:35 AM

Deep Fiducial Inference
Presentation Jan Hannig, The University of North Carolina at Chapel Hill

CS05 - Scaling Up Machine Learning to Production
Invited

Thu, May 30, 10:30 AM - 12:05 PM
Regency Ballroom AB

Organizer(s): Jim Harner, West Virginia University

Chair(s): Jim Harner, West Virginia University

10:35 AM

'ML Ops' and Productionizing Machine Learning Workflows
Amy Unruh, Google

11:05 AM

TFX: Production ML Pipelines with TensorFlow
Robert Crowe, Google

11:35 AM

Scalable Automatic Machine Learning with H2O
Erin LeDell, H2O.ai

CS06 - Visual Storytelling
Invited

Thu, May 30, 10:30 AM - 12:05 PM
Regency Ballroom EF

Organizer(s): Silas Bergen, Winona State University

Chair(s): Jerzy Wieczorek, Colby College

10:35 AM

What You Design Is Not What People See
Presentation Alberto Cairo, University of Miami

11:05 AM

The Design and Evaluation of Expressive Visualization Tools for Data-Driven Storytelling
Matthew Brehmer, Microsoft Research

11:35 AM

Things We've Learned from Telling the 'Fun' Data Stories
Amber Thomas, The Pudding

CS07 - Reimagining & Introducing New Pedagogy
Contributed

Thu, May 30, 10:30 AM - 12:05 PM
Regency Ballroom C

Chair(s): Julie Zhang, University of Washington

10:35 AM

DATA SCIENCE CERTIFICATION AT MSC – UPR
Abiel Roche-Lima, RCMI-Medical Science School - University of Puerto Rico

10:50 AM

Clinical Data Wrangling: An Active and Didactic Learning Workshop
Ted Laderas, Oregon Health & Science University

11:05 AM

What Can Data Science Look Like in High School?
Presentation Tim Erickson, Epsitemological Engineering and Lick-Wilmerding High School

11:20 AM

Teaching Upper Level Statistics Courses through a Shared/Hybrid Model
Presentation Jingchen Hu, Vassar College

11:35 AM

Data Science and the Pedagogical Reform of Introductory Statistics
Presentation Brendan Patrick Purdy, Moorpark College

11:50 AM

Floor Discussion

CS08 - SADM Invited Papers
Invited

Thu, May 30, 1:30 PM - 3:05 PM
Grand Ballroom I

Organizer(s): Bertrand Clarke, University of Nebraska-Lincoln; Jia Li, Penn State University

Chair(s): Aaron Molstad, Fred Hutchinson Cancer Research Center

1:35 PM

Bayesian Variable Selection in High-Dimensional EEG Data Using Spatial Structured Spike and Slab Prior
Dipak K. Dey, University of Connecticut

2:05 PM

Mean Residual Function: a Tool for Exploring Patterns in Big Data
Ehsan S. Soofi, University of Wisconsin-Milwaukee

2:35 PM

Slow-kill for Big Data Learning
Yiyuan She, Florida State University

CS09 - Project Jupyter
Invited

Thu, May 30, 1:30 PM - 3:05 PM
Regency Ballroom AB

Organizer(s): Brian Granger, Cal Poly; Fernando Perez, UC Berkeley

Chair(s): Casey Jelsema, West Virginia University

1:35 PM

Sharing Reproducible Computations on Binder
Presentation Lindsey J. Heagy, UC Berkeley

2:05 PM

Open Infrastructure in the Cloud with JupyterHub
Chris Holdgraf, UC Berkeley

2:35 PM

JupyterLab: An Extensible and Flexible Platform for Collaborative Data Science
Brian Ellison Granger, Cal Poly / Project Jupyter

CS10 - Data Science's X-Factor
Invited

Thu, May 30, 1:30 PM - 3:05 PM
Regency Ballroom C

Organizer(s): Katherine M. Kinnaird, Smith College

Chair(s): Mine Dogucu, .

1:35 PM

Student Difficulties in Data Science Instruction: Early Findings
Karl R. B. Schmitt, Valparaiso University

2:05 PM

Data Science In/Among/With/Toward the Humanities
Presentation John Laudun, University of Louisiana

2:35 PM

Data Physicalizations: Where Art, Data, and Domain Applications Combine
Katherine M. Kinnaird, Smith College

CS11 - Data Visualization in Python
Invited

Thu, May 30, 1:30 PM - 3:05 PM
Regency Ballroom EF

Organizer(s): Todd Iverson, Winona State University

Chair(s): Todd Iverson, Winona State University

1:35 PM

Introduction to Visualization with Python
Presentation Stephen F. Elston, Quantia Analytics, LLC

2:05 PM

Altair: Declarative Visualization in Python - Part 1
Presentation Dominik Moritz, University of Washington

2:35 PM

Altair: Declarative Visualization in Python - Part 2
Kanit "Ham" Wongsuphasawat, Apple

CS12 - Enterprise Applications of Data Science
Contributed

Thu, May 30, 1:30 PM - 3:05 PM
Grand Ballroom J

Chair(s): Gabriela de Queiroz, IBM

1:35 PM

Estimating Causal Effects in Large Scale Online Experiments and Designing Automated A/B Testing Platforms for Machine Learning
Presentation Zuzanna Klyszejko, MongoDB

1:50 PM

Data Storytelling: Improve Insight-To-Action Conversion for a Greater Real World Impact
Yu Zhou, Mastercard

2:05 PM

Detecting Innovative Companies via Their Website
Piet Daas, Statistics Netherlands

2:20 PM

Metrics and Modeling in Large-Scale Digital Experimentation
W. Duncan Wadsworth, Microsoft

2:35 PM

Forecasting at Scale to Champion Customer Trust
Ana Bertran, Salesforce

2:50 PM

Floor Discussion

CS13 - Computationally Intensive Methods: Resampling and MCMC
Contributed

Thu, May 30, 1:30 PM - 3:05 PM
Grand Ballroom K

Chair(s): Honglang Wang, Indiana University-Purdue University Indianapolis

1:35 PM

Jackknife Empirical Likelihood Approach for K-Sample Tests via Energy Distance
Yongli Sang, University of Louisiana at Lafayette

1:50 PM

Gelman-Rubin: Improved Stability and a Principled Threshold
Presentation Christina Phan Knudson, University of St. Thomas

2:05 PM

Error Estimation for Randomized Numerical Linear Algebra via the Bootstrap
Miles Lopes, UC Davis

2:20 PM

A Scalable Regression Estimation Procedure for Competing Risks Data
Eric S. Kawaguchi, University of California, Los Angeles

2:35 PM

Floor Discussion

PS02 - Data Science Applications E-Posters, I
E-Poster

Thu, May 30, 3:00 PM - 4:00 PM
Grand Ballroom Foyer

Automated Survey Text Analysis -- Supervised Latent Dirichlet Allocation (SLDA)
Presentation Christine P. Chai, Microsoft

Comparing various string similarity algorithms in the task of name-matching
Presentation Aleksandra Zaba, University of Utah

Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study
Mityl Biswas, NC State University

Comparing Object Correlation Metrics for Effective Space Traffic Management
Julie Zhang, University of Washington

Batch effect adjustment via ensemble learning in the validation of genomic classifiers
Yuqing Zhang, Boston University

Tensor Mixed Effects Model with Application to Nanomanufacturing Inspection
Presentation Xiaowei Yue, Virginia Polytechnic Institute and State University

Burst Detection in Call Trains for Identifying Fraud in Telecommunications
Presentation Miguel Raul Pebes Trujillo, Indiana University Bloomington, Department of Statistics

Active Labeling using Model-based Classification
Min Fang, San Jose State University

Analyzing Influence of Social Media Through Twitter
Presentation Dhrubajyoti Ghosh, North Carolina State University

Diversity of forest structure across the United States
Jessica Lynn Gilbert, Purdue University

ClusterJob, an Experiment Management System For Ambitious Data Science
Bekk Blando, Clemson University

A Maximum Likelihood Method for Correlated Discrete and Continuous Outcomes with Selection, Lagged Effects and Variance
Rhoda Nandai Muse, University of Arizona, Mathematics Department

Gender Distribution in Movie Roles
Presentation Vijay Ravuri, CalPoly SLO

Evaluating and forecasting the CD4 cell count evolution in HIV+ patients from a Bayesian stochastic model related to the logistic curve with multiple inflection points.
Victor Cruz-Torres, University of Puerto Rico

CS14 - The IMS Program on Probabilistic Views of Machine Learning
Invited

Thu, May 30, 4:00 PM - 5:35 PM
Grand Ballroom I

Organizer(s): Eric Chi, North Carolina State University; Brad Price, West Virginia University

Chair(s): Brad Price, West Virginia University

4:05 PM

Prediction with Confidence – General Framework for Predictive Inference
Regina Liu, Rutgers University

4:35 PM

Scalable and Model-free Methods for Multiclass Probability Estimation
Helen Zhang, University of Arizona

5:05 PM

Fiducial Made Sexy: Statistical Inference for Machine Learning Problems
Thomas Lee, UC Davis

CS15 - Linguistic Diversity in NLP
Invited

Thu, May 30, 4:00 PM - 5:35 PM
Grand Ballroom J

Organizer(s): Rachael Tatman, Kaggle

Chair(s): Julia Silge, Stack Overflow

4:05 PM

An Introduction to Computational Sociolinguistics
Rachael Tatman, Kaggle

4:35 PM

English Isn't Generic for Language, Despite What NLP Papers Might Lead You to Believe
Presentation Emily M. Bender, University of Washington

5:05 PM

Learning the Language of BlackTwitter
Brandeis Hill Marshall, Spelman College

CS16 - Recent Advances in Matrix and Tensor Factorization Models
Invited

Thu, May 30, 4:00 PM - 5:35 PM
Grand Ballroom K

Organizer(s): Raymond Wong, Texas A&M University

Chair(s): Jan Hannig, The University of North Carolina at Chapel Hill

4:35 PM

Linked Matrix Factorization
Eric F. Lock, University of Minnesota

5:05 PM

Boosted Sparse and Low-Rank Tensor Regression
Kun Chen, University of Connecticut

CS17 - Shared Infrastructure for Data Science
Invited

Thu, May 30, 4:00 PM - 5:35 PM
Regency Ballroom AB

Organizer(s): Soren Harner, Permaling

Chair(s): James Sharpnack, UC Davis

4:05 PM

The Machine Learning Lifecycle with MLflow
Siddharth Murching, Databricks, Inc.

4:35 PM

Low-Latency Model Serving with MLflow and MLeap
Corey Zumar, Databricks, Inc.

5:05 PM

Bayesian Structured Time Series in TensorFlow Probability
Jacob Burnim, Google

CS18 - Communication Within and Beyond the Modern Data Science/Statistics Classroom
Invited

Thu, May 30, 4:00 PM - 5:35 PM
Regency Ballroom C

Organizer(s): Alicia Johnson, Macalester College

Chair(s): Christina Phan Knudson, University of St. Thomas

4:05 PM

Agile, Reproducible, and Accessible: Using Bookdown for Communication Within and Beyond the Classroom
Alicia Johnson, Macalester College

4:35 PM

Using Slack for Communication and Collaboration in the Classroom
Presentation Albert Y. Kim, Smith College

5:05 PM

Using Blogdown to Connect Beyond the Classroom
Presentation Alison Hill, RStudio

CS19 - Statistical Modeling in Python
Invited

Thu, May 30, 4:00 PM - 5:35 PM
Regency Ballroom EF

Organizer(s): Dennis Sun, Cal Poly

Chair(s): Kelly Nicole Bodwin, Cal Poly - San Luis Obispo

4:05 PM

Linear Modeling in Python with SALMON
Alex Boyd, University of California, Irvine

4:35 PM

A Grammar of Data Analysis
Dennis Sun, Google

5:05 PM

Symbulate: Probability Simulations in Python
Presentation Kevin Ross, Cal Poly

PS03 - Data Science Applications E-Posters, II
E-Poster

Thu, May 30, 5:30 PM - 6:30 PM
Grand Ballroom Foyer

Automated Analytics of the Solar Corona with Scalable Cloud Based Platforms
Lars K. S. Daldorff, JHU/APL

Modeling and Forecasting the Percent Changes in the National Park Visitation Counts Using Social Media Data
Russell Goebel, Western Washington University

Estimating Plant Growth Curves and Derivatives by Modeling Crowdsourced Imaged-Based Data
Haozhe Zhang, Iowa State University

Using Bayesian Networks to Perform Reject Inference
Billie Anderson, Harrisburg University

Usability evaluation of data presentation for official statistics
Presentation Lin Wang, U.S. Census Bureau

Do Unregistered Voters Want to Vote? Automatic Registration and Oregon Elections Turnout.
Matthew Stephan Yancheff, Reed College

Relationship between physical activity and depression in elderly Costa Ricans
Presentation Shu Li, Kent State University

Building an Interpretable Incident Prediction model for Site Reliability
Jiaping Zhang, Salesforce

For-estimation: Post-stratification to increase efficiency of forest attribute estimates
Miranda Rintoul, Reed College

Forecasting NBA Fan Support using Time Series Analysis
Victor Wilson, Cal Poly San Luis Obispo

Handling Missing Data in Cardiovascular Disease Prediction Using Neural Networks
Presentation Megan Shand, Broad Institute

Leverage Machine Learning to Advance Risk Prediction with Electronic Health Record
Presentation Yirui Hu, Geisinger

Multiple uses for chronic condition data mart
John Massman, Virginia Mason

Team Item Response Models
Deborshee Sen, Duke University

GS02 - Symposium on Data Science and Statistics Banquet
General Session

Thu, May 30, 6:30 PM - 8:00 PM
Grand Ballroom E

Organizer(s): Kelly McConville, Reed College

Chair(s): Jennifer L. Beaumont, Terasaki Research Institute

7:00 PM

Statistics Isn't All That Funny, but it Has Its Moments
Joel Grus, Allen Institute for Artificial Intelligence

Online Program

Key:

ASA Meetings Department