Michael Kane is an Assistant Professor of Biostatistics at Yale University. At Jackson, he is one of the undergraduate Capstone Course instructors for the 2019-2020 academic year. Kane received his Ph.D. and MA in Statistics at Yale University and his MA in Electrical Engineering and BS in Computer Engineering at Rochester Institute of Technology. In 2010 he won the American Statistical Association’s John M. Chambers Statistical Software award for The Bigmemory Project, which provided software infrastructure allowing the R programming environment to accommodate terabyte-scale data exploration and analysis. In 2012 he was a Co-PI for a grant in DARPA’s XDATA program, which was part of the Obama Administrations Big Data Initiative. Since 2014 he has advised and collaborated with AT&T Labs Research to design and develop petabyte-scale analysis infrastructure. In 2016 he was editor of the Handbook of Big Data, which provides a state-of-the-art overview of the analysis of large-scale datasets. In 2019 he authored A Computational Approach to Statistical Learning, which provides an algorithmic and numerical perspective on popular machine learning methods. His research develops methods in statistical and machine learning and focuses on applications in clinical trials and population-scale human mobility.