Ali Rahnavard, Founder and Chief Scientific & Technology Officer of seqSight, s a leading expert in computational biology and artificial intelligence for omics data. He is also an Associate Professor of Biostatistics and Bioinformatics at George Washington University, where he directs a research laboratory focused on AI-driven approaches to public health. Dr. Rahnavard holds a Ph.D. in Computer Science with applied training in statistics and bioinformatics, and has built his career at the intersection of machine learning, systems biology, and large-scale data science. He previously served as a Postdoctoral Associate at the Broad Institute of MIT and Harvard and in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, where he worked on computational metagenomics and metabolomics.
Dr. Rahnavard has been recognized with the joint NSF–NIH award in Ecology and Evolution of Infectious Diseases (EEID), one of the most competitive awards spanning both agencies. His commercialization efforts have been supported by the NSF I-Corps program and the George Washington University Technology Maturation Award. His laboratory leads international collaborations in omics-based AI, including projects funded by the Bill & Melinda Gates Foundation.
At seqSight, Dr. Rahnavard drives scientific strategy, model development, and technology innovation, advancing next-generation AI models for biomedical discovery and positioning the company at the forefront of AI-powered genomics.
PostDoc Associate in Computational Biology and Microbiome, 2018
Department of Biostatistics - Harvard T.H. Chan School of Public Health
PostDoc Associate in Computational Biology and Microbiome, 2018
Infectious Disease and Microbiome Program - The Broad Institute of MIT and Harvard
PhD in Computer Science, Bioinformatics, Applied Statistics, 2014
New Mexico State University
MS in in Computer Science, Bioinformatics, 2013
New Mexico State University