Dr. Alexander Ioannidis

Biography

Alexander Ioannidis graduated summa cum laude in Chemistry and Physics from Harvard University before completing an M.Phil in Computational Biology at the University of Cambridge in the Department of Applied Mathematics and Theoretical Physics. He earned his Ph.D. in Computational and Mathematical Engineering at Stanford University, where he also obtained a Master’s degree in Management Science and Engineering, specializing in Numerical Optimization. His prior work includes experiences at Northrop Grumman in the Advanced Technology Lab, where he contributed to novel superconducting computing logic for quantum computing. Currently, he serves as an Assistant Professor (Research) in the Department of Biomedical Data Science at Stanford Medical School and the Department of Genetics. His teaching encompasses machine learning algorithms and data science courses within the Institute for Computational and Mathematical Engineering (ICME) at Stanford, along with courses on AI in healthcare at Stanford Medical School. His research group emphasizes computational techniques and deep learning methods in genomics and precision health, with particular focus on populations in Oceania and Latin America.

Research Interests