Dr. Nilah Ioannidis

Biography

Nilah Ioannidis is an Adjunct Assistant Professor at the University of California, Berkeley's Department of Electrical Engineering and Computer Sciences, with a joint appointment at the Center for Computational Biology. Her research focuses on developing computational methods to analyze and interpret personal genomes, utilizing machine learning and deep learning techniques to predict the clinical impact of genomic variation and to model variation in gene expression and molecular cellular phenotypes. Previously, Ioannidis was a postdoctoral scholar in the Department of Biomedical Data Science at Stanford University where she developed machine learning tools to predict the pathogenicity of single nucleotide variants. She earned her Ph.D. in Biophysics from Harvard University and has worked in the Department of Biological Engineering at MIT, where she developed methods to analyze the dynamics of intracellular particles using hidden Markov modeling and Bayesian inference. Additionally, she has served as the Research Director for the Jain Foundation, a non-profit organization focused on rare genetic diseases, specifically dysferlinopathy. Her contributions to the field have been recognized with several awards, including the Chan Zuckerberg Biohub Investigator Award and the NIH K99/R00 Pathway Independence Award.

Research Interests

Experience

Awards