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. I earned my Ph.D. in Computational & Mathematical Engineering at Stanford and M.S. in Mgt. Science & Engineering (Numerical Optimization concentration). Prior to this I worked on novel superconducting computing logic and quantum computing at Northrop Grumman (Advanced Technology Lab).

My teaching has included machine learning algorithms and data science courses in the Institute for Computational & Mathematical Engineering (ICME) at Stanford, generative AI in healthcare at Stanford Medical School, and computational biology in the Dept of Biomolecular Engineering (BME) at the University of California, Santa Cruz. My research group focuses on computational techniques and deep learning methods for genomics & precision health with a particular focus on populations in Oceania and Latin America (spotlight article).