About Me

Thanks for visiting my site! I'm an epidemiology and computational biology PhD student at the University of California, Berkeley. I work in Professor John Marshall's lab, where I study computational models of vector-borne infectious disease control. In a past life, I worked as a software engineer in the cancer genomics and humanitarian spaces. I graduated from Johns Hopkins University in 2016 with degrees in Biomedical Engineering and Applied Mathematics, and I'm primarily interested in the intersection of computation, medicine, and public health. On the side, I enjoy analog photography, jazz (my current favorite album), history, and espresso. You can find a copy of my CV here.

Some projects I've been a part of (at work and elsewhere):

  1. Visualizing COVID-19 infection rate & death projections in the United States.
  2. Visualizing mobility & commuting patterns during the COVID-19 pandemic.
  3. An automated tool for large-scale data normalization and processing.
  4. A blood-based, next-generation DNA sequencing analysis pipeline for patients with advanced cancers.

Publications & Blog

Links to my occasional, haphazard musings.

  1. September 12, 2020 --- Math, CS, and Epidemiology Notes


Please drop a line if you'd like to chat! I'm available on these platforms:

  1. Email
  2. Twitter
  3. Github
  4. LinkedIn
  5. Instagram