Dr. Marylyn Ritchie

Professor

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Biography

Marylyn Ritchie is an accomplished academic and researcher in the field of genetics and biomedical informatics, currently serving as an Adjunct Professor in the Department of Genetics at the Perelman School of Medicine, University of Pennsylvania. She has held various prominent positions including Director of the Institute for Biomedical Informatics and Vice President for Research Informatics at the University of Pennsylvania Health System. Ritchie's expertise spans computational genomics, bioinformatics, epistasis, pharmacogenomics, and big data analysis related to genetic epidemiology. Her research also delves into machine learning applications in healthcare, precision medicine, and discoveries surrounding cardiovascular diseases and Alzheimer's. Ritchie has contributed to numerous publications advancing the understanding of genetic variants and their implications in various health conditions. A strong advocate for integrating artificial intelligence with traditional biomedical science, she aims to enhance the precision of medical predictions and interventions through her research. Her educational background includes a BS in Biology from the University of Pittsburgh at Johnstown and both an MS and PhD in Statistical Genetics from Vanderbilt University. She continues to lead innovative projects that bridge the gap between cutting-edge technology and clinical applications in genetics.

Research Interests

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.