I graduated in Chemistry and Physics from Harvard University and earned an M.Phil in Computational Biology and Diploma in Greek from the University of Cambridge. I earned my Ph.D. in Computational and Mathematical Engineering at Stanford University, along with an M.S. in Mgmt. Science and Engineering (Optimization). Prior to this I worked on superconducting computing logic and quantum computing at Northrop Grumman (Advanced Technologies Lab).
I teach machine learning algorithms and data science in the Institute for Computational & Mathematical Engineering (ICME) at Stanford as an Adjunct Lecturer in the School of Engineering, and I am a research fellow in the Dept. of Biomedical Data Science (BDS) in the School of Medicine, where my work focuses on computational methods for genomics and population genetics with a particular focus on underrepresented populations in Oceania and Latin America.
I also do work at the intersection of history and population genetics, including work with native communities. As the grandson of Cappadocian refugees expelled from their native land, I try to engage with the complex sentiments of displaced indigenous peoples in this work. Pain over disruption of community heritage and dispossession from traditional sites often remains raw. If engagement with descendant communities is lacking, research into our past can often feel like a continuation, even a legitimation, of dispossession. Combined alongside a dialogue with native communities, however, genetics can play a small role in helping to reclaim ancestral stories and dispersed community connections. I hope our work plays a constructive role in that process.
© Alex Ioannidis. All Rights Reserved.