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 Integrative ‘Omics and Biomedical Informatics Lab. I also collaborate with Mandi Hall and the Health Futures Group at Microsoft Research.

My general research skills and interests include:

  • translational bioinformatics and personalized medicine
  • human disease genomics
  • network medicine
  • deep learning and interpretable machine learning
  • big data analytics and cloud-based genomics
  • data visualization
  • human-centered design

My doctoral 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. I’m also very interested in facilitating and simplifying the process of medical discovery across the landscape of biomedical research.

I hold a Master’s degree in Statistics from the Wharton School of Business as well as Bachelor’s degrees in Statistics and Computer Science from Duke University. I am passionate about mentorship and outreach, and I have volunteered for a variety of organizations as a teacher in science education.

To see a full list of my publications, refer here, and to connect with me via LinkedIn, click here

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