Abstract: In this industry seminar, Dr. Kelly H. Zou offers a unique and broad perspective on career development for biostatistics graduates, drawing from her extensive experience across academia, industry, artificial intelligence (AI), and entrepreneurship. Her insights emphasize the importance of agility, collaboration, navigation of the evolving data‑driven landscape. She highlights how digital health and AI are reshaping biostatistics by creating opportunities for innovation in predictive modeling, personalized medicine, and equitable healthcare delivery. She encourages to cultivate strong methodological foundations while embracing technologies and communication skills to bridge analytics with real‑world data for evidence generation. She inspires to envision the students not only as biostatisticians but as leaders at the forefront of digital health. Her message underscores the transformative role biostatisticians can play in advancing medicine, improving patient outcomes, and shaping the future of healthcare through data‑driven solutions. She will illustrate a set of big data and AI use case examples including health data, image analysis, predictive analytics, and generative AI. 

About the Speaker: Dr. Kelly H Zou is President of the American Statistical Association (ASA)'s New York City Chapter, and Executive Committee Member and Incoming Chair, Caucus of Industry Representatives, ASA, Health Information Technology Advisory Committee, Membership Council, and AI Expert Group Member, AcademyHealth. She is an elected ASA Fellow and an Accredited Professional Statistician. Previously at Pfizer Inc, she was Vice President and Head of Medical Analytics & Insights; Senior Director of Real World Evidence, Group Lead of Methods & Algorithms and Analytic Science Lead; Senior Director of Statistics. She was Head, Global Medical Analytics, Real-World Evidence, and Health Economics and Outcomes Research, Viatris Inc. (merged from Pfizer). Earlier, she was Associate Professor of Radiology at Harvard Medical School, as well as Director of Biostatistics at its affiliated teaching hospitals. She was Associate Director of Rates at Barclays Capital. She received both MA and PhD degrees in Statistics from the University of Rochester. She completed her Postdoctoral Fellowship at Harvard. Her research interests include health policy, real world evidence, signal detection, and artificial intelligence, with well-over 150 professional articles and 5 books, including a Reuters prize. She was featured as an Outstanding Woman in Data Analytics by Forbes, an Inspirational Women in Statistics & Data Science by Wiley, and an Accomplished Woman in Statistics and Data Science by the American Statistical Association. She was the winner of the Chief Data and Analytics Officers’ Forum’s Future Thinking Award, AI100, Top 50 Data & Analytics Team and Top 100 Professional Award, Reuters Events Pharma USA’s Most Valuable Data & Insights Initiative Team Award. She was a Reuters Trailblazer. She is an editorial board member and judge for Significance, UK Royal Statistical Society, ASA, and Statistical Society of Australia.