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Steven Kleinstein is a computational immunologist specializing in big data analysis within the field of immunology. His research focuses on developing innovative computational methods to study human immune responses. Kleinstein received his Bachelor of Applied Science in Computer Science from the University of Pennsylvania and his Ph.D. in Computer Science from Princeton University. He currently holds the Anthony N. Brady Professorship in the Department of Pathology at Yale School of Medicine, with a secondary appointment in Immunobiology. He is a member of the Interdepartmental Program in Computational Biology and Bioinformatics and the Human Translational Immunology Program. His specific research interests include high-throughput single-cell B cell receptor repertoire profiling and multi-omic immune signatures in response to human infections and vaccinations. Kleinstein has developed widely used computational methods for large-scale studies, such as the Immcantation framework, which offers a comprehensive analytical ecosystem for analyzing high-throughput AIRR-seq datasets. He collaborates closely with both basic experimental and clinical research groups to enhance our understanding of immune system responses across various diseases.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.