Dr. Harinder Singh

Professor

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Biography

Harinder Singh is a Professor and Director of the Center for Systems Immunology at the University of Pittsburgh. He has a Ph.D. in Molecular Biology from Northwestern University, completed in 1984. His research focuses on experimental computational analyses of gene regulatory networks that control immune effector memory cell states. Singh has long-standing interests in the discovery and analysis of transcription factors (TFs) and their roles in the regulation of development and function of immune cells. Notably, as an HHMI Investigator at the University of Chicago, his lab identified the Ets family member PU.1 as essential for the development of multiple myeloid and lymphoid lineages. His work has illuminated the molecular functions of PU.1 in the development of B cells and macrophages and has involved collaborations leading to the cloning of IRF4, a partner of PU.1. Singh’s research also includes investigations into how IRF4 and related proteins regulate immune responses. He has established the Center for Systems Immunology to foster interdisciplinary research collaborations that enhance understanding of high-dimensional datasets through advanced analytic pipelines and machine learning.

Research Interests

Experience

Professor

2010-01-01 — Present

University of Pittsburgh • Pittsburgh, PA

Leading research in systems immunology and gene regulatory networks.

Director

2010-01-01 — Present

Center for Systems Immunology • Pittsburgh, PA

Overseeing interdisciplinary research initiatives in immunology and computational biology.

Requirements for University of Pittsburgh

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:90
IELTS
Overall
Required:7
GRE General
Prerequisites
3 semesters of Calculus 1 semester of Linear Algebra Introductory Statistics
Application Checklist
  • Online application
  • Official transcripts
  • 3 letters of recommendation
  • Statement of purpose
  • Resume/CV
  • Application fee
Specialization Notes

The Statistics MS program focuses on mathematical statistics and applied statistics.