2026 Program

Half-Day Short Course:

 From Prompt to Deployment: Using Coding Assistants to Generate Reproducible Quarto Reports for Quality Data Analysis
Scott Mutchler, Virginia Tech

Lunch Break

Half-Day Short Course:

OMARS Designs: Modern Experimental Designs for Simultaneous Screening and Response Surface Optimization
Peter Goos, University of Leuven

Fall Technical Conference Opening Social

Breakfast:

Welcome & Plenary Session
Gerald J. Hahn Achievement Award

The Ubiquity of Variation: Implications for Statisticians
Willis Jensen

1A: CPID Invited

Design and analysis of experiments assessing handheld RFID readers in complex environments
Justin Strait, LANL

Moderator:

1B:
The perfect is the enemy of the good
Bradley Jones

Moderator:

1C: SPES Invited
TBD
Shihao Yang, Georgia Institute of Technology

Moderator:

2A: Design of Experiments

Use of Split-Plot Optimal Design for Optimization of a Constrained Two-Step Chemical Reaction Process: A Case Study Example

Richard Montes, Alnylam Pharmaceuticals

Powerful Experimental Designs for Multiple Hypothesis Tests
Jonathan Stallrich, North Carolina State University

Sample Size and Design Optimization with Transition Costs
Peter Goos, KU Leuven

Moderator:

2B: ISEA

Data Quality: Missed Opportunity or Golden Opportunity?
Roger Hoerl, Union College

Statistical Engineering: a roadmap for solving modern scientific & engineering problems
Simon Mak, Duke

Moderator: Caleb King

2C: Machine Learning

Are “Fair Aware” Machine Learning Algorithms Really Fair?
Frederick W. Faltin, Virginia Tech

Bayesian Optimization for Hyperparameter Tuning in AI Models
Linfeng Lyu, Clemson University

Fitting an Escalier to a Curve
Sebastien Bossu, University of North Carolina at Charlotte

Moderator:

Luncheon and Award Presentation

3A: Bayesian Methods

Credible Distributions of Overall Ranking of Entities

Abhyuday Mandal, University of Georgia

From Reviews to Insights: A Rank-Based Bayesian Model for Multimodal Aspect Sentiment Aggregation
Kaiwen Wang, Davidson College

AI-SALT: A Screening Accelerated Life Testing Framework for AI System Reliability
Simin Zheng, Virginia Tech

Moderator:

3B: Panel – Journal Editors

Panelists
Rong Pan, Arizona State University

Kamran Paynabar, Georgia Institute of Technology

Bill Woodall, Virginia Tech

3C: Applied Data Science & AI

CROSSVALI: A Method for Prompting AI for Data Analysis
Jennifer Van Mullekom and Anne Driscoll, Virginia Tech

An Explainable Artificial Intelligence Framework for Child Trafficking Risk Assessment
Abiodun Olalere, North Carolina Agricultural and Technical State University

Space-Filling One-Factor-At-A-Time Designs
Wei-Yang Yu, Georgia Tech

Moderator:

Break:

W. J. Youden Address

TBD
Derek Bingham, Simon Fraser University

Reception and Poster Session I

Monitoring Supervised Learning Models with Statistical Control Charts
Leah Jones, Virginia Tech

Modeling Environmental Predictors of Grizzly Bear Scavenging in Yellowstone National Park
Becky Catlett, Virginia Tech

A Two-Stage Structural Equation Modeling Framework to Address Spatial Confounding in Binary Response Models
Md. Hasibul Islam Jitu, North Carolina State University

Estimation Stability Under Low Sample-Size-to-Parameter Conditions: Comparing Classical OLS and Regularized Bayesian Regression Estimators
Naa Adoley Acquaye, University of Denver

Sequential Reliability Testing for LLM Code Generation
Vu Huynh, Virginia Tech

Super Convergence of Instrument Assisted Subsampling Estimators
Jiaqi Liu, University of Connecticut

Estimating Decision Uncertainty from Preference Uncertainty: Application to Ground Vehicle Design
Chia-Ruei Liu, Clemson University

Respecting the Boundaries: Space-Filling Designs for Surrogate Modeling with Boundary Information
Yen-Chun Liu, Duke University

csbewma: An R Package for Cumulative Standardized Binomial EWMA Control Charts
Faruk Muritala, Kennesaw State University

Conformal Prediction for Intrusion Detection
Chidiogo Onoh, University of Central Florida

Breakfast:

4A: STAT Invited Session

Probability of Detection: Evaluating the Reliability of Nondestructive Inspection Systems
Christine Knott, Air Force Research Laboratory

Moderator:Karen Hulting

4B:

Supersaturated Designs for Main Effects and Two‐Factor Interactions: Supersaturated Designs for Interactions
Maria Weese, Miami University

Moderator:

4C: Q&P Invited

Conjecturing-Based Discovery of Patterns in Data
David Edwards, The Citadel

Moderator:

5A: Computer Experiments

Revisiting the 10p Rule for Computer Experiments
Miles Woollacott, North Carolina State University

Profile Bayesian Optimization in Expensive Computer Experiments
Courtney Kyger, Virginia Tech

Moderator:

5B: Optimization and DOE

Optimal Sparse Projection Design for Systems with Treatment Cardinality Constraint
Kexin Xie, Virginia Tech

An Economical Approach to Design with Precision Criteria
Luke Hagar, The University of Queensland

Moderator:

5C: Quality Metrics

Quantile-Based PCIs for Evaluating Two Processes
M Z Anis, Indian Statistical Institute

Predictive Ppk Calculations for Biologics and Vaccines using a Bayesian approach
Jianfang Hu, Pfizer

Moderator:

Break

6A: Industrial Statistics

XCT Systems Transfer Function Methodology Development Pathfinder: Linking System Performance Using Experimental Design
Mindy Hotchkiss, Enquery Research LLC

Distributed Accelerated Failure-Time Models for Big Data
Jared Clark, Virginia Tech

A Feature-Enhanced Capacity Prediction Method for Efficient Lithium-Ion Cell Grading under Multi-Temperature Conditions
Shih-Han Huang, Virginia Tech

Moderator:

6B: Panel – Beyond the Tenure Track: Careers in Industry and Applied Research

Panelists
Ashley Childress, Eli Lilly

Todd Coffey, Pfizer

Abby Nachtsheim, LANL

Moderator: Michael Crotty, JMP Statistical Discovery LLC

6C: Bayesian and Reliability

Mechanism-Level Bayesian Inference for Latent Gaussian Models: A Scalable Framework for Spatial Flow

Michael R. Schwob, Virginia Tech

Flexible Bayesian Variable Selection under Shape Constraints
Ayumi Mutoh, North Carolina State University

Validating Applications Based on Machine Learning Libraries Using Blocked Covering Arrays: A Case Study
Yeng Saanchi, JMP Statistical Discovery LLC &
Sohyeon Kim, North Carolina State University

Moderator:

Luncheon

TBD
Jeri Mulrow, 2026 President of the American Statistical Association

7A: Quality and Reliability Methods

AI-Augmented Use Risk Management for Medical Devices Under ISO 14971
Venudhar Hajari, Smith & Nephew plc

Dark Uncertainty Imperils Hybrid Metrology for Semiconductors
Adam L. Pintar, National Institute of Standards and Technology

Monitoring Parametric, Nonparametric, and Semiparametric Linear Regression Models using a Multivariate CUSUM Bayesian Control Chart
Abdel-Salam G. Abdel-Salam, Qatar University

Moderator:

7B: Panel – From Bench to Batch: Nonclinical Statistics Case Studies from the Pharmaceutical Industry

Panelists
Briana Russo, Merck

Greg Steeno, Pfizer

Kade Young, Eli Lilly

Moderator: Katie Brickey, Pfizer

7C: Societal and SPC Applications

An Interpretable Generative Framework for Statistical Process Control in High-Dimensional Settings
Waldyn Martinez, Miami University

Beyond Prediction: Monitoring Dynamic Risk Using Machine Learning and SPC
Mohammad Abdullah, The Ohio State University

New Perspectives of Respondent-Driven Sampling with Application to Sex-Trafficked Population in Senegal
Hui Yi, North Carolina Agricultural and Technical State University

Moderator:

Reception and Poster Session II

Sparse Bayesian Optimization on the Simplex via Manifold-Aware Kernels
Vivek Singh, Duke University

Exploring Intrinsic Gaussian Processes as Priors for Estimation Problems
Colby Stakun-Pickering, Virginia Tech

A Comparative Simulation Study of Signal/Response and Hit/Miss Methodologies for POD Analysis
Kaelan Swallow, Strategic Ohio Council for Higher Education

A Geometric Approach to High-Dimensional Statistical Process Control via Manifold Fitting
Ismail Burak Tas, The Pennsylvania State University

Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function
Amy Vennos, Virginia Tech

Sequential IMSE Design for Manifold-Regularized Kernel Logistic Regression
Xiaotian Wang, University of Georgia

Sequentially Weighted One-Factor-at-a-Time Designs for Safe Online Controlled Experiments
Rachel Winpisinger, North Carolina State University

Monitoring 75,000 Calorimeter Channels: Coupled, Anytime-Valid Sparse Changepoint Detection
Patrick Woitschig, Duke University