Dr. Steven Kleinstein is a computational immunologist with a combination of “big data” analysis and immunology domain expertise. He is currently an Associate Professor (tenured) in the Department of Pathology and Department of Immunobiology at the Yale School of Medicine. He is a member of the Human and Translational Immunology program, the Yale Center for Medical Informatics and the Interdepartmental Program for Computational Biology and Bioinformatics. Dr. Kleinstein received a B.A.S. in Computer Science from the University of Pennsylvania and a Ph.D. in Computer Science from Princeton University. Prior to joining Yale, Dr. Kleinstein worked as a Computational Scientist at Physiome Sciences, Inc. (Princeton, NJ) and as a research scientist at Princeton University, where he ran the Program in Integrative Information, Computer and Application Sciences (PICASso).
Dr. Kleinstein’s research interests include both developing new computational methods and applying these methods to study human immune responses. Somatic hypermutation (SHM) and B cell affinity maturation, the core of adaptive immunity, have been a particular focus of his work, with a major emphasis on large-scale B cell receptor repertoire analysis (AIRR-Seq). His lab makes available the widely-used Immcantation framework (http://immcantation.org), which provides a start-to-finish analytical ecosystem for AIRR-Seq analysis. Another significant research emphasis involves methods development for other high-throughput immune profiling data types, such as transcriptomics, with several applications to infection and vaccination responses (e.g., influenza). His lab has been involved in many collaborations with experimental and clinical groups, and several NIH consortia including: (1) the Modeling Immunity for Biodefense (MIB) program, (2) the Big Data to Knowledge (BD2K) initiative, and (3) the Human Immunology Project Consortium (HIPC).