Steven H Kleinstein, PhD

Associate Professor of Pathology

Research Interests

Autoimmune Diseases; Computing Methodologies; Immune System Diseases; Information Science; Pattern Recognition, Automated; Virus Diseases; Computational Biology; Autoimmune Diseases of the Nervous System; Immune System Phenomena; Mathematical Concepts; Patient-Specific Modeling

Public Health Interests

Bioinformatics; Genomics; Infectious Disease; Influenza; Viruses; West Nile Virus

Research Organizations

Pathology: Informatics Program | Kleinstein Lab | Pathology Research

Immunobiology: HTI | Lymphocyte Development

Faculty Research

Liver Center

Medical Informatics, Yale Center for

Yale Cancer Center: Cancer Immunology

Office of Cooperative Research

Research Summary

My research seeks to make fundamental contributions to immunology through the development and application of innovative computational methods. Somatic hypermutation (SHM) and B cell affinity maturation, the core of adaptive immunity, have been a long-term focus of my work, with a major emphasis on B cell immunoglobulin repertoire analysis. Over the past several years, my research has expanded to include methods for other high-throughput immune profiling data types, with several applications to influenza infection and vaccination responses. My lab has significant expertise in both bioinformatics and immunology and, although we do not directly perform wet-lab experiments, we work closely with experimental and clinical groups for the initial phases of hypothesis generation and experimental design.

Extensive Research Description

Information on projects is available from our lab website: http://clip.med.yale.edu

Selected Publications

Full List of PubMed Publications

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