Michael Kane is an Assistant Professor of Biostatistics at Yale University and the Director of the Biostatistic's Department's Data Science Pathway. He received his PhD and MA in Statistics at Yale University and his MS in Electrical Engineering and BS in Computer Engineering at Rochester Institute of Technology. He is a Co-Founder and Scientific Advisor at Telperian Inc., which provides machine learning tools, designs, analyses, and strategic guidance to drug developers. His current reasearch interests are in characterizing prognostic heterogeneity in patient populations to maximize clinical trial success along with the developements of AI agents to augment human understanding and effort in the development, monitoring, and evaluation of clinical trials.