Dr. Benjamin Voight

Professor

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Biography

Benjamin Voight is a Professor in the Department of Genetics at the Perelman School of Medicine at the University of Pennsylvania. His research expertise encompasses the genetic, biological, and evolutionary basis of metabolic diseases in humans, with a specific focus on statistical genetics and complex traits. He leads a lab that develops statistical models and computational tools grounded in principles of population biology and quantitative genetics. The lab's current work involves analyzing genetic data from large cohorts to understand the relationships between genetic variations and complex diseases, particularly type-2 diabetes and coronary heart disease. Voight's research aims to identify causal variants and mechanisms that influence disease risk while applying Mendelian randomization frameworks for causal inference. He has published numerous studies exploring genome-wide association approaches and the impact of natural selection on human genetic diversity. Voight's contributions extend to developing innovative methodologies and applications in population genetics and bioinformatics.

Research Interests

Experience

Professor

2006-01-01 — Present

Perelman School of Medicine, University of Pennsylvania • Philadelphia, PA

Lead research in Systems Pharmacology and Translational Therapeutics, developing innovative methodologies for analyzing genetic data.

Post-Doctoral Research Fellow

2006-01-01 — 2009-01-01

Human Genetics, Massachusetts General Hospital •

Conducted research on human genetics and complex diseases.

Research Scientist

2009-01-01 — 2011-01-01

Broad Institute of Harvard and MIT •

Worked on genetic studies related to complex diseases and statistical genetics.

Requirements for University of Pennsylvania

Doctorate Program
Requirements
GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115
Prerequisites
Bachelor's degree or equivalent Strong quantitative background
Application Checklist
  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays
Specialization Notes

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