Speaker Profile
Ph.D., Chief of AI, Tempus
Biography
Dr. Martin Stumpe leads Tempus' Artificial Intelligence and Data Science department, which includes teams applying modern machine learning to medical images, genomic data, clinical data, and other data modalities across diseases, with a particular focus on oncology and cardiology. Before joining Tempus, Martin was Head of the Pathology team at Google, where he founded and led a team of engineers and scientists to build AI applications to improve cancer diagnostics. Earlier in his career, Martin worked on planet-scale computer vision applications in Google Street View, developed algorithms for the detection of extrasolar planets while at NASA Ames on the Kepler mission, and worked on molecular dynamics simulations to elucidate aspects of protein folding and denaturation while at Stanford. Martin holds a Dr. rer. nat. from the Max Planck Institute for Biophysical Chemistry and University of Goettingen, Germany.
AI and Data Science Showcase:
Tempus
Tempus, a technology company advancing precision medicine through artificial intelligence. With one of the world’s largest libraries of clinical and molecular data, an operating system to make it accessible, Tempus enables physicians to deliver personalized care and facilitates discovery, development and delivery of optimal therapeutics.
Actionable AI: Empowering the Stewards of Precision Medicine
Use Cases of AI that enable pathologists to do what they couldn't before; Predicting Molecular Features from H&E slides surfacing targeted therapies and clinical trials for their patients.
Session Abstract – PMWC 2022 Silicon Valley
Track Chairs:
Sharmila Majumdar, UCSF
The use of Artificial Intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. AI has shown impressive accuracy and sensitivity in the identification of imaging abnormalities and promises to enhance tissue-based detection and characterization. This track will explore technical advancements in clinical machine learning and use cases in radiology.
Sessions:
- AI Roadmap: Opportunities and Challenges (PANEL)
Session Chair: Sean Khozin, CancerLinQ
- Matthew Lungren, AWS
- Patrick Loerch, Gilead
- Greg Yap, Menlo Ventures
- Lydia The, McKinsey & Company
- Chris Gibson, Recursion
- Andrea Mazzocchi, Known Medicine - Actionable AI: Empowering the Stewards of Precision Medicine
- Martin Stumpe, Tempus - Technical Advancements in Clinical Machine Learning - What's New in 2022 (PANEL)
Session Chair: Sharmila Majumdar, UCSF
- Matthew Lungren, AWS - Jayashree Kalpathy-Cramer, Harvard
- John Mongan, UCSF - Image Applications for Clinical Diagnosis
Session Chair: Esther L. Yuh, UCSF
- Thorsten Fleiter, U. of Maryland
- Imon Banerjee, Mayo Clinic
- Pratik Mukherjee, UCSF
- Lawrence Schwartz, Columbia University Medical Center
- Rakesh Shiradkar, Case Western Reserve University - The Impact of AI and High-Resolution Digital Slide Imaging
Session Chair: Ryan Davis, Epredia
- Andy Moye, Paige
- Thomas Westerling-Bui, Aiforia
Session Chair: Fatemeh Zabihollahy, UCLA
- Mirabela Rusu, Stanford
- Mona Flores, NVIDIA
- Kilian Koepsell, Caption Health
- Eric Horler, AIQ Solutions
