Alexander graduated from Harvard in Chemistry and Physics and earned an MPhil in Computational Biology from the University of Cambridge. Prior to Stanford, he worked in superconducting computing research at Northrop Grumman. He is a PhD graduate of Stanford's Institute for Computational and Mathematical Engineering, where he teaches machine learning and data science. As a current postdoctoral scholar, his research focues on applying computational methods to problems in human population genetics.

Professional Education

  • Doctor of Philosophy, Stanford University, CME-PHD (2018)
  • Master of Science, Stanford University, MGTSC-MS (2018)
  • Master of Philosophy, University of Cambridge, Computational Biology (2005)
  • Bachelor of Arts, Harvard University, Chemistry and Physics (2003)

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