Hello there, and welcome to my GitHub profile!

I am a biomedical data scientist and health machine learning researcher based in Seattle, WA. I currently work for the Office of the Chief Data Officer (OCDO) at the Fred Hutchinson Cancer Center. My role centers on the development and productization of statistical models and machine learning systems for electronic phenotyping and cohort identification across the institution. I also serve as a guest lecturer in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania and a collaborator with the Health Futures Group at Microsoft Research. Prior to my position at Fred Hutch, I completed my Ph.D. and postdoctoral training in Biomedical Informatics and Computational Genomics at the University of Pennsylvania Perelman School of Medicine. In addition to my doctoral degree, I hold a M.A. in Statistics and Data Science from the Wharton School of Business, as well as a B.Sc. with honors in Statistics, a B.Sc. in Computer Science, and a minor in Computational Biology from Duke University.

My general research skills and interests include:

• translational bioinformatics and personalized medicine

• big data analysis

• deep learning and generative AI

• data visualization

• network science

• human-centered design

I am always open to speaking, teaching, collaboration, consulting, and outreach opportunities.

Feel free to reach out to me with questions or requests at vivek.sriram@gmail.com. To learn more about me, visit my website at https://vsriram24.github.io