Speaker Profile
                                                                        Biography
                                                                        Dr. Martin Stumpe serves as the Chief of AI at Tempus, where he leads the development of AI algorithms from NGS and digital pathology to improve clinical context and decision making for better patient care. Prior to Tempus, Dr. Stumpe 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; and before that, he was a postdoctoral researcher at Stanford University focusing on molecular dynamics simulations to study chaperone induced protein folding. Dr. Stumpe holds a PhD in Computational and Theoretical Physics from the Max Planck Institute for Biophysical Chemistry in Goettingen, Germany.
                                                                    
                                                                    
                                                                    
                                                                    
AI and Data Sciences Showcase:
 Tempus
Tempus is a technology company advancing precision medicine through the  practical application of artificial intelligence in healthcare. With one of  the world’s largest libraries of clinical and molecular data, Tempus  enables physicians to deliver personalized patient care and accelerates the  development of optimal therapeutics. 
Session Abstract – PMWC 2024 Silicon Valley
                                                                        
                                                                        The PMWC 2024 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.
                                                                    




