Geoff Davis is a data scientist at Google [x] where he works on the Baseline Study, a collaboration between Google, Duke University, and Stanford University to detect the onset of chronic diseases early enough to enable their prevention.
Geoff earned a PhD in applied mathematics from the Courant Institute at New York University and a BS in mathematics and physics from Duke University. His academic work focused on algorithms for the efficient representation, storage, and transmission of digital information. He pursued his research interests as an assistant professor in the Mathematics Department at Dartmouth College and as the Texas Instruments Visiting Assistant Professor in the Electrical and Computer Engineering department at Rice University. In 1998 Geoff left academia for Microsoft Research where he worked on methods for better audio compression. He holds two patents and is the recipient of an IEEE Signal Processing Society Young Author Best Paper Award and the IEEE Leon K. Kirchmayer Prize Paper Award.
Geoff has had a longstanding interest in improving the training of young scientists. While a postdoctoral student he created one of the most popular online career resources for early career scientists. He later led a large-scale study of factors that affect the outcome of postdoctoral training with support from the Alfred P. Sloan Foundation, the Burroughs Wellcome Fund, and a Wertheim Fellowship at Harvard Law School. He has served on the National Bureau of Economic Research’s Science and Engineering Workforce Project and on the National Research Council’s Committee on Developing Science, Technology, and Innovation Indicators for the Future.