Dr. Maja Bucan

Professor

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Biography

Maja Bucan is a professor in the Department of Genetics at the Perelman School of Medicine, University of Pennsylvania. She has a Ph.D. in Biology from Belgrade University and her research focuses on the genetic dissection of complex behaviors in mice and humans. Bucan has extensive experience in functional genomics, bipolar disorder, and autism, leading various projects aimed at uncovering genetic factors contributing to these conditions. Her laboratory employs advanced genomic techniques to study behavioral psychiatric disorders and has been involved in significant collaborations including investigations into the autism spectrum disorder (ASD) etiology using the Autism Genetics Resource Exchange. Her research delves into complex genetic interactions and has revealed the significant roles of both common and rare genetic variants in neurodevelopmental and psychiatric conditions. Bucan has published numerous articles addressing the genetic underpinnings of bipolar disorder and the impact of genetic architecture on sleep patterns and mental health. Beyond her research, Bucan is dedicated to outreach and education, engaging students in scientific study and discussion about health and statistics through hands-on learning experiences.

Research Interests

Experience

Professor

2000-01-01 — Present

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

Leading research and education in genetics and complex behaviors.

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

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.