Alexander Ioannidis

Alexander graduated from Harvard in Chemistry and Physics and earned an M.Phil in Computational Biology and Diploma in Greek from the University of Cambridge. He has a Ph.D. in Computational and Mathematical Engineering from Stanford, where he teaches machine learning and data science. Prior to Stanford, he worked in superconducting computing research at Northrop Grumman. As a current research fellow in the Stanford School of Medicine (Department of Biomedical Data Science), his work focuses on applying computational methods to problems in human genetics and population history.

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)