About

Edric (Ed) Tam is a Postdoctoral Fellow working at the intersection of Statistics and AI at Stanford University. His research focuses on developing novel statistical methods and machine learning techniques to address complex problems in data science.

Education and Training

  • PhD, Duke University, 2024

    • Department of Statistical Science (Advised by David Dunson)
    • Dissertation: Graphical and Isoperimetric Perspectives on Sampling and Regularization

  • MS, University of Chicago, 2018

    • Department of Computer Science (Advised by Veronika Rockova)

  • MS, University of Chicago, 2018

    • Department of Biomedical Engineering (Advised by John Carlson)

  • BS, Johns Hopkins University, 2016

    • Triple majored in Biomedical Engineering, Applied Mathematics and Statistics, as well as Neuroscience
    • Research Advisors: Alex Kolodkin, Michael I. Miller, J. Tilak Ratnanather

Research Interests

  • Statistical methods
  • Machine learning
  • Artificial intelligence
  • [Add your specific research areas]

Current Position

Warren Alpert Fellow at Stanford University, working on Statistics and AI.

Previous Positions

  • [Previous position 1]
  • [Previous position 2]

Publications

For a complete list of publications, please see the Papers section.

Contact

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