Stanford University

Showing 31,021-31,030 of 35,698 Results

• Charlotte Toksvig

  Assistant Dean, Academic Administration, Graduate School of Business - Academic Administration
  
• Eunice Tokuda

  Sr. Planner/Project Manager, School of Medicine - Office of Facilities Planning & Management
  
• Wendy N Tokunaga

  Winter CSP Instructor
  
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  Alexander Tolas

  Clinical Research Coordinator, Medicine - Med/Cardiovascular Medicine
  

  BioMy research focuses on the scalable measurement and validation of cardiorespiratory fitness and physical activity using wearable and mobile technologies. I am particularly interested in integrating physiological assessment, digital phenotyping, and epidemiologic modeling to improve cardiovascular risk stratification across diverse populations. My work spans device validation, predictive modeling, and translation of exercise physiology metrics into clinically meaningful digital health applications.
• Daniela Tolchinsky

  Postdoctoral Scholar, Taube Center for Jewish Studies
  
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  Anna Toledano
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  Alfred Tolentino

  FSH AR Analyst, Financial Compliance and Operations
  
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  Eugene Tolentino

  Facilities Services Mgr, SLAC National Accelerator Laboratory
  
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  Yerkezhan Toleukhan

  Undergraduate, Developmental Biology
  

  • Contact Info

    yerke@stanford.edu
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  Andreas Tolias

  Professor of Ophthalmology
  

  BioAndreas Tolias is a faculty member at Stanford University, where he co-leads the Enigma Project. His research lies at the interface of neuroscience and AI, combining large-scale neuroscience experiments with machine learning to uncover the principles of natural intelligence. By focusing on perceptual inference and decision-making, his lab integrates systems and computational neuroscience with AI to decipher the network-level principles of intelligence. Dr. Tolias’s work aims to reverse-engineer these principles to create AI systems that are smarter, more robust, trustworthy, and efficient, while providing a powerful platform to test brain algorithms under complex natural tasks. He earned his B.A. and M.A. in Natural Sciences from the University of Cambridge, a Ph.D. in Systems and Computational Neuroscience from MIT, and completed postdoctoral training in Neuroscience and Machine Learning at the Max Planck Institute for Biological Cybernetics in Tübingen.