Data Science for Public Health

Big Imaging

Scalable machine learning, computer vision, and generative modeling.

Public Health

Translational medicine, bioimaging, and disease surveillance and prediction.

Open Science

Active contributors to open source projects and advocates for Open Science principles and practices.

Selected Projects

Group Openings

We are an interdisciplinary group, primarily focused on how data science can be a tool for knowledge discovery in public health applications.

Due to a combination of logistical, financial, and research commitments, I am NOT able to recruit students for Fall 2021 or Spring 2022. I sincerely apologize--there are always more interested and qualified students than I can effectively mentor at one time, and accepting more students would be a disservice to everyone.

When recruiting resumes, we are looking for students with backgrounds and interests in:

  • statistical machine learning
  • computer vision
  • deep learning
  • generative models
  • spectral graph analytics
  • distributed computing
  • cellular biology
  • disease modeling
  • open source coding

If you are interested in pursuing interdisciplinary research in my group, please read this blog post and follow its instructions for contacting me.


If you're interested in learning more about the work we do, email me!