Alexander Ioannidis

I graduated summa cum laude in Chemistry and Physics from Harvard and completed an M.Phil in the Dept. of Applied Math & Theoretical Physics at Cambridge in Computational Biology (and a diploma in Greek). I earned my Ph.D. in Computational & Mathematical Engineering at Stanford and an M.S. in Mgt. Science & Engineering (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 at Stanford University as an Adjunct Professor of Computational & Mathematical Engineering (ICME) in the School of Engineering, and I am a research fellow in the Dept. of Biomedical Data Science (BDS) in the Stanford School of Medicine, where my work focuses on computational methods for genomics & precision health with a particular focus on underrepresented populations in Oceania and Latin America. (Stanford Engineering spotlight)