Thursday-Friday, August 3-4, 2023 Overview: Nowadays, statisticians and health data scientists actively work together on the frontier of biological, medical, and public health research. The transdisciplinary collaboration not only develops the modern foundations of Health Data Science but also accelerates the pace of scientific discovery and innovation. The CANSSI-NISS Health Data Science Workshop 2023 will be held virtually on August 3-4, 2023. The workshop brings statisticians and health data scientists from the U.S. and Canada together to explore current approaches and new challenges for learning Big Data in Health Data Science. The workshop consists of two keynote presentations, four invited sessions, a poster competition for students and new researchers, a late-breaking session on AI and Health Data Science, and a networking happy hour. The themed invited sessions will explore current approaches and new challenges in: – AI and Health Data Science – Statistical Problems in Imaging and Genetics (including analysis of single-cell data) – Causal Inference for Big Health Data – Statistical Methods for Precision Medicine Keynote speakers: Eric Tchetgen Tchetgen, Wharton School of University of Pennsylvania Charmaine Dean, University of Waterloo Each session 2 hours (120 minutes = four 25-min talks and 20-min Q&A) Session 1: AI and Health Data Science Ali Ghodsi, University of Waterloo Rob Tibshirani, Stanford University Qi Long, University of Pennsylvania Grace Yi, Western University, Ontario Session 2: Statistical Problems in Imaging and Genetics (including analysis of single-cell data) Lei Sun, Professor, Department of Statistical Sciences, University of Toronto Jiguo Cao, Simon Fraser University Brian Caffo, Professor of Biostatistics, Johns Hopkins University Marina Vannucci, Noah Harding Professor of Statistics, Rice University Shuangge Ma, Professor of Biostatistics, Yale University Nancy Zhang, University of Pennsylvania Mingyao Li, University of Pennsylvania Session 3: Causal Inference for Big Health Data Debashis Ghosh, Colorado School of Public Health Lan Wen, University of Waterloo Shu Yang, North Carolina State University Mirielle Schnizer and Cong Jiang, Université de Montréal Session 4: Statistical Methods for Precision Medicine Michael Wallace, University of Waterloo