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Saurabh Sinha is the Wallace H. Coulter Distinguished Chair Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. His research group focuses on bioinformatics, developing computational methods to decipher the properties of organisms and the functions encoded by DNA. His research is specifically concentrated on the parts of DNA that control the activities of genes, known as regulatory DNA. He employs techniques from various disciplines, including machine learning and statistics, to model regulatory DNA and predict biological functions. Sinha has collaborated extensively with biologists to understand the role of regulatory DNA in significant life processes such as embryonic development, social behavior, and cancer. His future work will aim to develop analytical approaches to combine multiple types of molecular data (multi-omics) and analyze transcriptomic data at sub-cellular resolution (spatial omics). Sinha’s research topics strive to understand the changes associated with biological processes, disease progression, and behavioral responses as encoded by DNA, utilizing methods from machine learning and probabilistic models.
Department of Computer Science: GRE scores are optional for Fall 2026.