Martin Stumpe Email & Phone Number

Washington, District Of Columbia, Us

Chicago, Il, Us

Chicago, Il, Us

Build, manage, and lead the AI & Data Science department (~100 employees, Oct’22). Set the vision and drive the execution of machine learning and data science at Tempus to advance impact on patients in all of Tempus’ business units - including multimodal risk and response predictions, biomarker discovery, smart trial enrollment, clinical data structuring, lab operations, and other products, services, data-driven operational improvements.

Mountain View, Ca, Us

I founded and led the Pathology team at Google Brain, growing it from an idea into a ~40 people cross-functional organization.Some info about the team's work:https://ai.googleblog.com/2018/10/applying-deep-learning-to-metastatic.htmlhttps://ai.googleblog.com/2018/11/improved-grading-of-prostate-cancer.htmlhttps://ai.googleblog.com/2018/04/an-augmented-reality-microscope.html

Mountain View, Ca, Us

I worked on several projects involving large scale computing, machine learning, and computer vision. My main projects included:• Object recognition in StreetView images for automatic creation of maps• Diagnosis of diabetic retinopathy from fundus images

• Developed detection and tracking software.• From idea to market.• Customers at 50+ academic and industry institutions.• For more information, please visit http://www.antracks.org

Moffett Field, California, Us

• Algorithm development for the NASA Kepler Mission - which uses photometric data of unprecedented precision to detect planet signals around distant stars• Design and implementation of pattern recognition and machine learning algorithms for systematic error correction of lightcurves from the Kepler spacecraft• Bayesian algorithm for systematic error correction• Machine Learning techniques for data characterization• Wavelet-based signal decomposition for improved feature extraction• Prototyping and implementation of all algorithms in Matlab• Work in a highly collaborative team of 15 developers• Assess the relevance of potential improvements to define future directions for algorithm development• Present methods and results at science conferences, publish work in scientific journals

Stanford, Ca, Us

• Design and conduct computational experiments to advance understanding of protein folding and misfolding (as part of NIH nanomedicine grant)• Statistical analyses of simulation results to identify the main determinants in the structure-function relation of chaperonin complexes• Develop scheme for in silico design and screening of protein mutants with improved functionality• Investigate joint use of molecular dynamics simulations and other theoretical approaches for improved sampling accuracy and speed, and lead international collaboration for above investigation• Develop improved computational method for calculation of biomolecule structure from x-ray data, provided as tool to the scientific community• Present results on scientific conferences and publish results in scientific literature

Göttingen, Niedersachsen, De

• Design research plan to investigate molecular mechanism of protein unfolding in denaturing solvent conditions (as continuation of PhD work)• Perform Molecular Dynamics simulations of large complex systems (~100k particles) to elucidate above mechanism• Analyze simulation results with statistical methods to extract dominating patterns• Present results at scientific conferences and publish results in scientific literature• Co-supervise diploma student, and teach various courses in experimental physics and computational biophysics• Publish results in scientific literature and on conferences

Dr. Rer. Nat., Physics

Diplom (M. Sc.), Physics