ASA Connect

Dear Colleagues,

We are excited to announce the Short Courses available at the 2025 ICSA Applied Statistics Symposium, scheduled for June 15–18 at the University of Connecticut, Storrs. The courses will take place on Sunday, June 15., 2025.

Full-Day Courses:

• Tutorial on Deep Learning and Generative AI

  • Instructor: Haoda Fu, Amgen

• Large-Scale Spatial Data Science

  • Instructors: Marc Genton, KAUST; Saneh Abdulah, KAUST; Mary Lai Salvana, University of Connecticut

• An Introduction to the Analysis of Incomplete Data

  • Instructor: Ofer Harel, University of Connecticut

Morning Half-Day Courses:

• Merging Data Sources: Record Linkage Techniques and Analysis of Linked Datasets

  • Instructor: Roee Gutman, Brown University

• Unleashing the Power of Machine Learning and Deep Learning to Accelerate Clinical Development

  • Instructors: Li Wang, AbbVie; Yunzhao Xing, AbbVie; Sheng Zhong, AbbVie

• Bayesian Evidence Synthesis Approaches to Accelerate Rare Disease Drug Development

  • Instructors: Satrajit Roychoudhury, Pfizer Inc; Wei Wei, Yale University

• Quantitative Decision Making for Staging Up to Phase 3 Clinical Development

  • Instructors: Cong Han, Astellas Pharma Global Development, Inc; Yusuke Yamaguchi, Astellas Pharma Global Development, Inc; Annie Wang, Astellas Pharma Global Development, Inc; Yongming Qu, Eli Lilly and Company

• Interface between Regulation and Statistics in Drug Development

  • Instructors: Birol Emir, Pfizer Inc; Michael Gaffney, Independent Consultant; Demissie Alemayehu, Pfizer Inc

• A Bootcamp on Git for Project Management with Applications in Data Science

  • Instructor: Jun Yan, University of Connecticut

• Comparing Python and R for Data Visualization

  • Instructor: Jose Manuel Magallanes, Pontificia Universidad Catolica del Peru

Afternoon Half-Day Courses:

• Statistical Methods for Time-to-Event Data Subject to Truncation

  • Instructor: Jing Qian, University of Massachusetts Amherst

• Introduction of Dynamic Borrowing in Clinical Trials and Regulatory Submission

  • Instructors: Jerry Li, BMS; Ivna Chan, BMS; Inna Perevozskaya, BMS; Hao Sun, BMS

• Win Statistics (Win Ratio, Win Odds, and Net Benefit): Theories and Applications

  • Instructor: Gaohong Dong, Sarepta Therapeutics

• Bayesian Machine Learning Methods for Partially Observed Data

  • Instructor: Sujit Ghosh, NC State University

• Statistical Inference in Large Language Models

  • Instructors: Weijie Su, University of Pennsylvania; Qi Long, University of Pennsylvania; Xiang Li, University of Pennsylvania

• An Outstanding Supervisor: Leading for Motivation, Innovation, and Retention

  • Instructor: Claude Petit, Astellas Pharma

For detailed course descriptions and registration information, please visit the ICSA 2025 Symposium Course Catalog.

Best regards,