About Me

Welcome! I am a Ph.D. Candidate in the Genomics and Computational Biology graduate group at the University of Pennsylvania Perelman School of Medicine, working in Professor Dokyoon Kim’s Laboratory for Integrative ‘Omics.

My general research skills and interests include:

  • translational bioinformatics and personalized medicine
  • network medicine
  • deep learning and interpretable machine learning
  • big data analytics
  • data visualization
  • human disease genomics

My thesis work focuses on the integration of genomic and phenotypic data from electronic health record (EHR)-linked biobanks, applying network theory and graph-based machine learning methods to evaluate the genetic basis of disease complications and comorbidities. For a full list of my publications, refer here.

I previously received B.Sc.’s in Statistics and Computer Science from Duke University, and I am also on track to complete a M.Sc. in Statistics from the Wharton School of Business. I am passionate about mentorship and outreach, and I have volunteered for a variety of organizations as a teacher in science education.

Feel free to contact me at viveksrm@pennmedicine.upenn.edu for any consulting and collaboration questions.