Professor Dr. Steven Kleinstein

Professor

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Biography

Steven Kleinstein is a computational immunologist with expertise in big data analysis within the field of immunology. His research interests encompass the development of new computational methods for studying human immune responses. Dr. Kleinstein holds a Bachelor of Applied Science in Computer Science from the University of Pennsylvania and a Ph.D. in Computer Science from Princeton University. Currently, he serves as a Professor 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 as well as the Human Translational Immunology Program. His specific research focuses include high-throughput single-cell B cell receptor repertoire profiling, multi-omic immune signatures related to human infections and vaccination responses, and the application of next-generation sequencing technologies to gain insights into immune responses across various diseases.

Research Interests

Adaptive Immunity Allergy Immunology Autoimmune Diseases Computational Biology Computing Methodologies Immune System Diseases Immune System Phenomena Immunoinformatics Influenza Vaccines Lyme Disease Multiomics Patient-Specific Modeling Virus Diseases West Nile virus

Experience

Professor

2002-01-01 — Present

Yale School of Medicine • New Haven, CT

Serves as a Professor of Pathology with expertise in computational immunology.

Requirements for Yale University

Doctorate Program

Requirements

GPA Requirement
Required:3.5
GRE General
TOEFL
Listening
Required:25
Speaking
Required:26
Total
Required:100
IELTS
Speaking
Required:7.5
Overall
Required:7

Prerequisites

Bachelor's degree in Engineering, Physics, Chemistry, Computer Science, or Mathematics

Application Checklist

  • Statement of academic purpose
  • Unofficial transcripts
  • Three letters of recommendation
  • Application fee ($105)
  • Resume/CV

Specialization Notes

Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.