BME 280B Seminar: Computational Precision Health & Genomic Diversity

Presenter: Dr. Alex Ioannidis, BME Assistant Professor, UCSC

Description: N/A

Bio: Alex Ioannidis 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. He earned his Ph.D. in Computational & Mathematical Engineering at Stanford and M.S. in Mgt. Science & Engineering (Numerical Optimization concentration). Prior to this, he worked on novel superconducting computing logic and quantum computing at Northrop Grumman (Advanced Technology Lab).

Alex’s teachings has included machine learning algorithms and data science courses in the Institute for Computational & Mathematical Engineering (ICME) at Stanford, AI in healthcare at Stanford Medical School, and computational biology in the Dept. of Biomolecular Engineering (BME) at the University of California, Santa Cruz. His 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).

Hosted by: Professor Josh Stuart, BME Department

Location: PSB-240