Alexander Ioannidis

I graduated summa cum laude in Chemistry and Physics from Harvard and completed an M.Phil in Computational Biology in the Dept. of Applied Math & Theoretical Physics at Cambridge (and a diploma in Greek). I earned my Ph.D. in Computational & Mathematical Engineering at Stanford and an M.S. in Mgt. Science & Engineering (Numerical Optimization). Prior to this I worked on novel superconducting computing logic and quantum computing at Northrop Grumman (Advanced Technology Lab).

I teach machine learning algorithms and data science in the Institute for Computational & Mathematical Engineering (ICME) at Stanford and computational biology in the Department of Biomolecular Engineering (BME) at the University of California, Santa Cruz. My research group focuses on designing computational methods for genomics & precision health with a particular focus on underrepresented populations in Oceania and Latin America (spotlight article).