Stats Up AI Winter 2027 • AI Leadership Academy
Speakers
Speakers and mentors are experienced statistical leaders who have led AI teams and initiatives in academia and industry.
Leader Share Speakers
Leaders share their experience with AI for research and education, followed by open Q&A.
Professor and Chair, Department of Data Science, Dana-Farber Cancer Institute; Professor of Applied Statistics, Harvard University
Day 1 · AI for Research in Academia
Fienberg University Professor of Statistics & Data Science and Department Head, Carnegie Mellon University
Day 1 · AI Education Leadership
Play Session Leads
Hands-on sessions exploring AI for research and teaching with, about, and alongside AI.
Harold E. Smalley Early Career Professor and Assistant Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech
Day 1 · Play Session: AI for Research
Associate Professor of Statistics, Rutgers University
Day 1 · Play Session: AI for Research
Improv Training
An evening workshop on creativity, adaptability, and collaboration through collaborative theater exercises.
