Sunday, June 14
Short Courses, ICSA Board Meeting
8:00 AM – 5:00 PM · Registration
Registration
Registration
8:30 AM – 12:30 PM · Morning Short Courses
Short Course 1 · Hybrid
Graphical multiple comparison procedures: Combining flexibility with optimality
Short Course 2 · In-person
A Selective Introduction to the Statistical Foundations of Transfer Learning
12:30 PM – 1:30 PM · Lunch Break
Lunch Break
Lunch Break
1:30 PM – 5:30 PM · Afternoon Short Courses
Short Course 3 · In-person
Unlocking the Power of Semiparametric Models: A Practical Tutorial for Analyzing Complex Data with Minimum Assumptions
Short Course 4 · In-person
Selective inference: methods and applications
6:00 PM – 9:00 PM · ICSA Board Meeting
ICSA Board Meeting
ICSA Board Meeting
Monday, June 15
Parallel Sessions, Welcome & Opening, Roundtable Lunch, ICSA Meeting and Award Ceremony, Leadership Summit, Poster & Mixer
7:30 AM – 5:00 PM · Registration
Registration
Registration
8:00 AM – 9:45 AM · Breakfast
Breakfast
Breakfast
8:15 AM – 9:45 AM · Parallel Sessions
Invited Session · Track 1
Recent advances in modeling survival data
Invited Session · Track 2
Statistical Innovations for Microbiome Data: Modeling Sparsity, Compositionality, and Multi-Omics
Invited Session · Track 3
Innovations in Explainable AI and Statistical Learning
Invited Session · Track 4
Statistical Methodology for High-Dimensional Biomedical Data Analysis
Invited Session · Track 5
AI-Enabled Statistical Advances for Clinical Trial Design, Conduct and Oversight
Invited Session · Track 6
Bridging Statistics and AI: Decision Making, Preference Learning, Generative Modeling, and Causal Reasoning
Invited Session · Track 7
Statistical learning in biomedical sciences
Invited Session · Track 8
Modern Nonparametric Learning Methods for High-Dimensional and Large-Scale Data
Invited Session · Track 9
Advanced Methods for Personalized Decisions and Latent Structure Modeling
Invited Session · Track 10
Recent advancements in analyzing chemical mixtures in environmental health
Invited Session · Track 11
Advances in Statistical Methods for Complex Clustered and High-Dimensional Data
Invited Session · Track 12
Splines in Modern Statistics: Flexibility, Scalability, and Inference for Complex Data
10:00 AM – 10:20 AM · Welcome & Opening
Welcome & Opening Ceremony
Welcome and Opening Remarks
10:20 AM – 10:30 AM · Break
Break
Break
10:30 AM – 12:00 PM · Parallel Sessions
Invited Session · Track 1
Frontiers in Functional Data Analysis for Biomedical Imaging
Invited Session · Track 2
Advances in Data Fusion and Missing Data Analysis
Invited Session · Track 3
The Session in Honor of Gabor Szekeley: The Energy of Data and Its Role in Modern Statistical Sciences and Machine Learning
Invited Session · Track 4
Recent Advances in Statistical Learning and AI for Complex Data
Invited Session · Track 5
Recent advances in statistical design and analysis in oncology studies
Invited Session · Track 6
From Incidence to Inference: A Statistical Playbook for Vaccine Development
Invited Session · Track 7
Statistical Guardrails for Trustworthy AI: Privacy, Robustness, and Bias Mitigation
Invited Session · Track 8
Modern Statistical Process Monitoring with AI/Big Data (I)
Invited Session · Track 9
Fair, Causal, and Network Learning with Electronic Health Records
Invited Session · Track 10
Recent Advances in Statistical Genetics
Invited Session · Track 11
Recent Advances in Clinical Trials I
Invited Session · Track 12
Recent Advances in Statistical Learning for Complex Data
Student Paper Awards · Track 13
Student Paper Awards Session 1
12:00 PM – 1:00 PM · Roundtable Lunch
ICSA Mentor–Mentee Roundtable Lunch
ICSA Mentor–Mentee Roundtable Lunch
Naitee Ting — ASA Fellow; recipient of the 2025 ASA Mentoring Award; retired pharmaceutical statistician.
Rong Liu — Executive Director, Eli Lilly and Company; leads global statistical strategy for incretin-based diabetes programs.
Margaret (Meg) Gamalo — VP and Statistics Head for Inflammation, Immunology & Specialty Care, Pfizer; ASA Fellow.
Ziqian Geng — Senior Director & Statistics TA Head of Immunology Late Programs, AbbVie.
Grace Li — Senior Director, Statistical Innovation Center, Eli Lilly and Company.
Bidan Huang — Therapeutic Area Statistics Head of Specialty, AbbVie.
Jeen Liu — Head of Biostatistics and Data Management, Regeneron.
1:00 PM – 2:30 PM · Parallel Sessions
Invited Session · Track 1
Modern Statistical and AI Frameworks for Modeling Heterogeneity and Progression of Neuropsychiatric Diseases
Invited Session · Track 2
Scalable Statistical Methods for Complex, Spatial, and Functional Data
Invited Session · Track 3
Innovations in Modeling Heterogeneity and Complexity in Survival Data
Invited Session · Track 4
Innovative Statistical Methods in Clinical Trials and Real-World Evidence: Causal Inference, Estimands, and Predictive Modeling
Invited Session · Track 5
Recent Advances in Causal Inference for Evidence-Based Decision-Making
Invited Session · Track 6
Advances in Statistics, Machine Learning, and AI for Real-World and EHR Data
Invited Session · Track 7
Data integration under different data types: new methodology developments
Invited Session · Track 8
Integrating AI/ML in Statistical Research
Invited Session · Track 9
Advances in Statistical Inference and Experimental Design
Invited Session · Track 10
Advances in Sampling: Classical and Modern Approaches
Invited Session · Track 11
Advances in Representation Learning and Statistical Methods for Complex Data
Student Paper Awards · Track 12
Student Paper Awards Session 2
2:30 PM – 3:00 PM · Break
Break
Break
3:00 PM – 4:30 PM · Parallel Sessions
Invited Session · Track 1
Statistical Innovation at the Intersection of Machine Learning and AI
Invited Session · Track 2
Statistical Models for Cognitive Aging, Disease Progression, and Omics Analysis
Invited Session · Track 3
Advances in High-Dimensional Statistical Learning and AI for Complex and Imaging Data
Invited Session · Track 4
New advances in predictive learning, causal inference, and sequential decision making
Invited Session · Track 5
Recent Advancements in Oncology Dose Escalation and Optimization
Invited Session · Track 6
AI-Enabled Statistical Innovation for Trustworthy Clinical Evidence: From Trial Design to Safety Evaluation and Regulatory Readiness
Invited Session · Track 7
Statistical Advances in Data Augmentation and Transfer Learning
Invited Session · Track 8
Advances in Robust Causal Inference and Personalized Decisions Learning
Invited Session · Track 9
Emerging development of Nonparametric Methods in Statistical learning and AI
Invited Session · Track 10
Beyond the Fundamentals: Tackling New Complexities in Intercurrent Events and Missing Data
Invited Session · Track 11
Statistical Foundations for Evaluating and Understanding Large Language Models
Invited Session · Track 12
Statistical Foundations and Bayesian Innovations for Trustworthy AI
Invited Session · Track 13
Bayesian, Time Series and Applications: A Session in Memory of Professor George C. Tiao
4:30 PM – 4:40 PM · Break
Break
Break
4:40 PM – 5:10 PM · ICSA Member Meeting and Award Ceremony
ICSA Meeting and Award Ceremony
ICSA Member Meeting and Award Ceremony
5:15 PM – 7:00 PM · Leadership Summit
Leadership Summit · Reception & Panel Discussion
Leadership Summit
The Leadership Summit reception begins at 5:15 PM, giving attendees time to gather and connect before the formal summit starts at 5:45 PM. Distinguished statistical leaders from academia and industry will explore the future of the profession, share perspectives on leadership, and offer insights for early-career and established professionals.
Invited Panelists:
- Dr. Xiaoli Meng (Harvard University)
- Dr. Tian Zheng (Columbia University)
- Dr. Margaret Gamalo (Pfizer)
- Dr. Jeen Liu (Regeneron)
7:00 PM – 9:00 PM
Social Event
Poster & Mixer
All Day · Exhibitors
Exhibitor Information
Exhibitor Tables & Rooms
Tuesday, June 16
Parallel Sessions, Keynotes 1 & 2, Banquet
7:30 AM – 5:00 PM · Registration
Registration
Registration
8:00 AM – 9:45 AM · Breakfast
Breakfast
Breakfast
8:30 AM – 10:00 AM · Parallel Sessions
Invited Session · Track 1
Optimization Methods and Adaptive Learning
Invited Session · Track 2
Recent Advances in Lifetime Data Analysis
Invited Session · Track 3
Interpretable Frequency- and Wavelet-Domain Methods for Explainable Biomedical Time Series Analysis
Invited Session · Track 4
Statistical and AI Innovations for Heterogeneous Data
Invited Session · Track 5
Advanced Machine Learning and Statistical Inference
Invited Session · Track 6
AI in Drug Development: Industry Statistical Perspectives and Applications
Invited Session · Track 7
Advancing Cancer Care Through Statistical Innovation: From Early Detection to Personalized Treatment
Invited Session · Track 8
Statistical Methods for Complex and High-Dimensional Data
Invited Session · Track 9
Recent Advances in Generative AI and Large Language Models
Invited Session · Track 10
From Design to Decision: Novel Statistical Strategies in Oncology and Survival Analysis
Invited Session · Track 11
Advances in Trustworthy and Generative AI for Complex Data Domains
Invited Session · Track 12
Robust and Generalizable Statistical Learning under Distributional or Dependence Structures
Student Paper Awards · Track 13
Student Paper Awards Session 3
10:00 AM – 10:30 AM · Break
Break
Break
10:30 AM – 11:30 AM · Keynote 1
Keynote Address 1
AI Agents to Accelerate Scientific Discoveries
Professor James Zou
Stanford University
AI agents—large language models equipped with tools and reasoning capabilities—are emerging as powerful research enablers. This talk explores how agentic AI can accelerate scientific discoveries, introducing the Virtual Lab, Paper2Agent, and Agents4Science.
Bio: James Zou is an associate professor of Biomedical Data Science, CS and EE at Stanford. His innovations include EchoNet AI, Gradio, and SyntheMol. Awards include the Overton Prize, Sloan Fellowship, NSF CAREER, and faculty awards from Google, Amazon, Adobe and Apple.
11:30 AM – 1:00 PM
Lunch Break
Lunch Break
1:00 PM – 2:30 PM · Parallel Sessions
Invited Session · Track 1
Recent Development in Functional and Longitudinal Data Analysis
Invited Session · Track 2
Modern Machine Learning Methods for Complex and High-Dimensional Models
Invited Session · Track 3
Statistical Methods and Applications in Precision Oncology
Invited Session · Track 4
Advances of method development in life data science: survival, multivariate outcomes, and data integration
Invited Session · Track 5
Statistical Learning and Dimension Reduction for High-Dimensional Data
Invited Session · Track 6
Recent Advances in Precision Medicine with Statistical and Machine Learning Insights
Invited Session · Track 7
Modern Methods in Time-to-Event Analysis for Complex Clinical Trials
Invited Session · Track 8
Modern Statistical Process Monitoring with AI/Big Data (II)
Invited Session · Track 9
Trustworthy AI for Health: Safe Deployment in Clinical and Biomedical Systems
Invited Session · Track 10
Recent Advances in High Dimensional Data for Complex Biomedical Studies
Invited Session · Track 11
Advanced Statistical and Machine Learning Methods for Complex Data: Encoding, Interpretation, and Trustworthy Decision-Making
Invited Session · Track 12
From High-Dimensional Confounding to Digital Twins: Advances in Machine-Learning-Driven Causal Inference
Invited Session · Track 13
Innovative Endpoint Strategies in Modern Clinical Trials: Multi-Component, Composite, and Hierarchical Designs
2:30 PM – 3:00 PM · Break
Break
Break
3:00 PM – 4:00 PM · Keynote 2
Keynote Address 2
What Statistics and AI Offer Each Other?
Professor Emmanuel Candès
Stanford University
This talk discusses how thinking carefully about AI inputs and outputs yields more powerful, safer AI—addressing cost-constrained training, data exhaustion, clinical trials with AI-selected drugs, quality assurance in AI workflows, and leveraging ML predictions as data substitutes.
Bio: Emmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics at Stanford. Awards include the Waterman Award, MacArthur Fellowship, and the 2020 Princess of Asturias Award. Elected to the National Academy of Sciences in 2014.
4:00 PM – 4:30 PM · Break
Break
Break
4:30 PM – 6:00 PM · Parallel Sessions
Invited Session · Track 1
The Jiann-Ping Hsu Invited Session on Biostatistical and Regulatory Sciences
Invited Session · Track 2
Copulas, Boosting, and Neural Networks: Modern Tools for Biomedical and Spatial Applications
Invited Session · Track 3
Recent Advances in Causal Inference for Complex Settings
Invited Session · Track 4
Recent Advances in Clinical Trials II
Invited Session · Track 5
Veridical Data Science: A Pathway to Statistical Thinking in the Age of AI
Invited Session · Track 6
Scalable and Adaptive Statistical Learning in the Era of AI
Invited Session · Track 7
Recent Advances in Federated Causal Inference in the Presence of Heterogeneity in Multi-Site Clinical Data
Invited Session · Track 8
Recent Development in Biostatistics and Health Sciences
Invited Session · Track 9
Advances in Statistical Machine Learning for Biomedical and Health Applications
Invited Session · Track 10
Statistical Advances in Integrative Genomics and Spatial Transcriptomics
Invited Session · Track 11
Methodological Frontiers in Causal Estimation, Network Modeling, and Predictive Analytics
Student Paper Awards · Track 12
Statistics in Biosciences Best Paper Award
7:00 PM – 9:30 PM
Social Event
Banquet
All Day · Exhibitors
Exhibitor Information
Exhibitor Tables & Rooms
Wednesday, June 17
Parallel Sessions, Keynote 3, Closing Remarks
7:30 AM – 11:00 AM · Registration
Registration
Registration
8:00 AM – 9:45 AM · Breakfast
Breakfast
Breakfast
8:30 AM – 10:00 AM · Parallel Sessions
Invited Session · Track 1
Innovative Statistical Methods with Applications in Precision Medicine
Invited Session · Track 2
Advanced statistical and machine learning methods for analyzing real world data
Invited Session · Track 3
Recent Advances in Indirect Treatment Comparison and Network Meta-Analysis
Invited Session · Track 4
Statistical and Computational Advances in Spatial and Multi-Omics Data Analysis
Invited Session · Track 5
AI/ML-related inference, with applications in biomedical research
Invited Session · Track 6
New Developments in Functional, Distributional, and Survival Data Analysis in the Modern Era
Invited Session · Track 7
AI and Machine Learning for Single-Cell, Spatial, and Multi-Omics Data
Invited Session · Track 8
Responsible Statistics and AI Methods for Health Applications
Invited Session · Track 9
New development in latent variable models in AI
Invited Session · Track 10
Recent Advances in Statistical Innovation for Adaptive Design and Decision-Making
Invited Session · Track 11
Trustworthy AI for Finance & Social Science: Risk, Narratives, and Decision Systems
Invited Session · Track 12
Contemporary Statistical Learning for Complex Dependent Data
10:00 AM – 10:30 AM · Break
Break
Break
10:30 AM – 11:30 AM · Keynote 3
Keynote Address 3
Statistical Innovation in Regulatory Science and the Limits of Inference
Dr. John Scott
Director, Division of Biostatistics, FDA CBER
In this talk, I will review the past 10 years of statistical advances in regulatory science. I will focus on FDA initiatives including guidance documents in the areas of adaptive designs, complex and innovative trials, and the use of Bayesian methodologies in clinical trials. I will discuss examples where these approaches have been used in practice to support development or approval of medical products. After that, I will shift to survey changes on the horizon in the drug development process and discuss their implications for statistics and statisticians and how we can contribute in cases where hypothesis testing and inference may not be the right tools for the job.
Bio: John Scott is Director of the Division of Biostatistics and acting Deputy Director of the Office of Biostatistics and Pharmacovigilance in FDA CBER. He is a Fellow of ASA and past Editor of Pharmaceutical Statistics. Ph.D. Biostatistics, University of Pittsburgh.
11:30 AM – 11:45 AM
Closing Ceremony
Closing Remarks
All Day · Exhibitors
Exhibitor Information