School of Engineering

Showing 141-147 of 147 Results

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  Serena Yeung-Levy

  Assistant Professor of Biomedical Data Science and, by courtesy, of Electrical Engineering and of Computer Science
  

  BioDr. Serena Yeung-Levy is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
  
  Dr. Yeung-Levy leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, and the Center for Artificial Intelligence in Medicine & Imaging. She is also a Chan Zuckerberg Biohub Investigator and has served on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence.

  • Contact Info

  • Other Names:

    Serena Y. Yeung

    Serena Yeung
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  Lexing Ying

  Professor of Mathematics and, by courtesy, of Computer Science
  
• Patrick Young

  Lecturer, Computer Science
  
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  Julie Zelenski

  Senior Lecturer of Computer Science
  

  • Contact Info

  • Web page:

    http://www-cs-faculty.stanford.edu/~zelenski/
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  Mark Zhandry

  Associate Professor of Computer Science
  
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  James Zou

  Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
  

  Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
  
  We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.

  • Contact Info

  • Web page:

    https://www.james-zou.com/
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  Tijana Zrnic

  Assistant Professor of Statistics, of Management Science and Engineering and, by courtesy, of Computer Science
  

  BioTijana Zrnic is an Assistant Professor at Stanford University, jointly appointed between Statistics, Management Science & Engineering, and, by courtesy, Computer Science. She works on foundational questions in machine learning, statistics, and data-driven decision-making. Example topics of interest include AI-assisted statistical inference and data collection, performative prediction, and studying selection bias.