Stanford University
Showing 18,781-18,800 of 37,044 Results
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Scott W Linderman
Assistant Professor of Statistics
BioScott Linderman, PhD, is an Assistant Professor at Stanford University in the Statistics Department and the Wu Tsai Neurosciences Institute, as well as the Co-Director of the Stanford Center for Neural Data Science. His research focuses on machine learning, computational neuroscience, and the general question of how computational and statistical methods can help to decipher neural computation. His work combines novel methodological development in the areas of state space models, deep generative models, point processes, and approximate Bayesian inference with applied statistical analyses of large-scale neural and behavioral data. Previously, he was a postdoctoral fellow at Columbia University and a graduate student at Harvard University. His work has been recognized with a Savage Award from the International Society for Bayesian Analysis, an AISTATS Best Paper Award, an NSF CAREER Award, and fellowships from the McKnight, Sloan, and Simons Foundations.
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Malene Lindholm
Sr. Research Engineer, Medicine - Med/Cardiovascular Medicine
Current Research and Scholarly InterestsInterested in the genetics of human performance and the multi-omic response to exercise and training for optimizing human health.
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Steven Lindley
Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Current Research and Scholarly InterestsMaximizing the use of evidence-based practices and reducing unnecessary medical burden of psychiatric treatments for stress-related disorders.
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Benjamin Lindquist
Clinical Associate Professor, Emergency Medicine
Current Research and Scholarly InterestsInternational emergency medicine development and education.
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Bruce Ling
Senior Research Scientist, Pediatrics - Neonatology
Current Research and Scholarly InterestsMy research focuses on developing AI-enabled translational medicine platforms that integrate real-world electronic health records, wearable biosensor signals, LC-MS/MS-based proteomics and metabolomics, cfDNA molecular profiling, and multimodal medical imaging. The overarching goal is to transform longitudinal clinical, physiological, and molecular data into predictive tools for early disease detection, dynamic risk stratification, digital twin modeling, and precision intervention.
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Evelyn Bin Ling
Clinical Assistant Professor, Medicine
Current Research and Scholarly InterestsMy current research interests are in clinical trials related to COVID19 and hospitalized patients.
