Dr. Martin Stumpe serves as the Senior Vice President for Data Science at Tempus, where he is responsible for the vision and execution of using data science and machine learning to advance the precision medicine agenda of the company. Prior to joining Tempus, he founded and led the Cancer Pathology project at Google, which uses artificial intelligence to increase the accuracy in image-based cancer detection and grading. Earlier in his career, Dr. Stumpe was part of the Kepler team at NASA Ames Research Center in Mountain View, California, where he was responsible for the development of algorithms to detect extrasolar planets from stellar light curves. Before that, he was a postdoctoral researcher at Stanford University in the lab of Vijay Pande, focusing on molecular dynamics simulations to study chaperone-induced protein folding. Dr. Stumpe holds a PhD in Physics from the Max-Planck-Institute for Biophysical Chemistry in Goettingen, Germany.
Overcoming data mining and visualization challenges is critical to the success of data science. Converting data to a visual framework such as data clustering allows trend recognition which in turn can help with decision making. This approach to insight generation linked with human experience will be very powerful for all aspects of data sciences.