Alexander Ioannidis, Ph.D., M.Phil
Assistant Professor of Biomolecular Engineering
University of California, Santa Cruz
Adjunct Professor of Computational & Mathematical Engineering
Stanford University
code: github.com/ai-sandbox
email: my last name @ stanford.edu
twitter: @alexGioannidis
publications: google scholar
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 underrepresented populations in Oceania and Latin America (spotlight article).
Come work with us!
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