Stanford University
Showing 1,451-1,460 of 1,583 Results
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Gregory Valiant
Associate Professor of Computer Science
Current Research and Scholarly InterestsMy primary research interests lie at the intersection of algorithms, learning, applied probability, and statistics. I am particularly interested in understanding the algorithmic and information theoretic possibilities and limitations for many fundamental information extraction tasks that underly real-world machine learning and data-centric applications.
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Matt van de Rijn
Sabine Kohler, MD, Professor of Pathology
Current Research and Scholarly InterestsOur research focuses on molecular analysis of human soft tissue tumors (sarcomas) with an emphasis on leiomyosarcoma and desmoid tumors. In addition we study the role of macrophages in range of malignant tumors.
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Keith Van Haren, MD
Assistant Professor of Neurology (Pediatric Neurology) and of Pediatrics
Current Research and Scholarly InterestsOur research team is working to develop new treatments for children at risk of neurodegenerative diseases. We are primarily focused on multiple sclerosis and X-linked adrenoleukodystrophy, two conditions that involve inflammatory and metabolic disruption of the myelin that insulates brain cells. A key area of interest for us is how nutrient deficiencies during childhood may contribute to the disease processes and whether nutritional interventions could play a role in prevention.
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Capucine Van Rechem
Assistant Professor of Pathology (Pathology Research)
Current Research and Scholarly InterestsMy long-term interest lies in understanding the impact chromatin modifiers have on disease development and progression so that more optimal therapeutic opportunities can be achieved. My laboratory explores the direct molecular impact of chromatin-modifying enzymes during cell cycle progression, and characterizes the unappreciated and unconventional roles that these chromatin factors have on cytoplasmic function such as protein synthesis.
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Benjamin Van Roy
Professor of Electrical Engineering, of Management Science and Engineering
BioBenjamin Van Roy is a Professor at Stanford University, where he has served on the faculty since 1998. His current research focuses on reinforcement learning. Beyond academia, he leads a DeepMind Research team in Mountain View, and has also led research programs at Unica (acquired by IBM), Enuvis (acquired by SiRF), and Morgan Stanley.
He is a Fellow of INFORMS and IEEE and has served on the editorial boards of Machine Learning, Mathematics of Operations Research, for which he co-edited the Learning Theory Area, Operations Research, for which he edited the Financial Engineering Area, and the INFORMS Journal on Optimization. He received the SB in Computer Science and Engineering and the SM and PhD in Electrical Engineering and Computer Science, all from MIT, where his doctoral research was advised by John N. Tstitsiklis. He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award, the MIT Morris J. Levin Memorial Master's Thesis Award, the MIT George M. Sprowls Doctoral Dissertation Award, the National Science Foundation CAREER Award, the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching, the Management Science and Engineering Department's Graduate Teaching Award, and the Lanchester Prize. He was the plenary speaker at the 2019 Allerton Conference on Communications, Control, and Computing. He has held visiting positions as the Wolfgang and Helga Gaul Visiting Professor at the University of Karlsruhe, the Chin Sophonpanich Foundation Professor and the InTouch Professor at Chulalongkorn University, a Visiting Professor at the National University of Singapore, and a Visiting Professor at the Chinese University of Hong Kong, Shenzhen. -
Shreyas Vasanawala, MD/PhD
William R. Brody Professor of Pediatric Radiology and Child Health
Current Research and Scholarly InterestsOur group is focused on developing new fast and quantitative MRI techniques.
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Anand Veeravagu
Associate Professor of Neurosurgery and, by courtesy, of Orthopaedic Surgery
Current Research and Scholarly InterestsThe focus of my laboratory is to utilize precision medicine techniques to improve the diagnosis and treatment of neurologic conditions. From traumatic brain injury to spinal scoliosis, the ability to capture detailed data regarding clinical symptoms and treatment outcomes has empowered us to do better for patients. Utilize data to do better for patients, that’s what we do.
Stanford Neurosurgical Ai and Machine Learning Lab
http://med.stanford.edu/neurosurgery/research/AILab.html -
Ross Daniel Venook
Senior Lecturer of Bioengineering
BioRoss is a Senior Lecturer in the Bioengineering department and he is the Associate Director for Engineering at the Stanford Byers Center for Biodesign.
Ross primarily co-leads undergraduate laboratory courses at Stanford—an instrumentation lab (BIOE123) and an open-ended capstone design lab sequence (BIOE141A/B)—and he supports other courses and runs hands-on workshops in the areas of prototyping and systems engineering related to medical device innovation. He enjoys the unique challenges and constraints offered by biomedical engineering projects, and he delights in the opportunity for collaborative learning in a problem-solving environment.
An Electrical Engineer by training (Stanford BS, MS, PhD), Ross’ graduate work focused on building and applying new types of MRI hardware for interventional and device-related uses. Following a Biodesign Innovation fellowship, Ross helped to start the MRI safety program at Boston Scientific Neuromodulation, where he worked for 15 years to enable safe MRI access for patients with implanted medical devices--including collaboration across the MRI safety community to create and improve international standards.
