Travis Gerke, ScD

I lead Applied Intelligence at the Prostate Cancer Clinical Trials Consortium, a function I founded to own our AI strategy and the cloud research infrastructure behind it, from agentic coding workflows inside governed environments to cross-study data platforms. The heart of the work is leading the whole organization (programmers, data managers, clinical operations, business operations) through safe and effective AI adoption: not replacing judgment, but sharpening it.

I trained as a biostatistician and epidemiologist, and I still keep my hands in the most demanding statistical work, from Bayesian adaptive trial designs to causal inference in real-world evidence. I co-authored Causal Inference in R (CRC Press), and I’ve spent my career building data science teams across academia, industry, and startups.

Experience

• Head of Applied Intelligence The Prostate Cancer Clinical Trials Consortium
  2026 – present
• Director of Data Science The Prostate Cancer Clinical Trials Consortium
  2021 – 2026
• Co-founder & Chief Analytics Officer cStructure (through acquisition)
  2023 – 2026
• Director of Health Informatics Moffitt Cancer Center
  2020 – 2021
• Scientific Director, Collaborative Data Services Moffitt Cancer Center
  2016 – 2020
• Assistant Member, Cancer Epidemiology Moffitt Cancer Center
  2016 – 2020
• Visiting Scientist Harvard T.H. Chan School of Public Health
  2014 – 2020
• Assistant Professor of Epidemiology University of Florida
  2014 – 2016

Education

• ScD, Epidemiology Harvard T.H. Chan School of Public Health
  2014
• AM, Biostatistics Harvard University
  2011
• BA Mathematics, BS Statistics University of Florida
  2009

Selected work

• Causal Inference in R, co-authored for CRC Press
• 100+ peer-reviewed publications on Google Scholar
• Open-source R packages and tools on GitHub