Big data, computer vision, statistical machine learning, and other higher-order terms.
Translational medicine, bioimaging, and disease surveillance and prediction.
Active contributors to open source projects. Code, data, and course materials posted to GitHub.
We are an interdisciplinary group, primarily focused on how data science can be a tool for knowledge discovery in public health applications.
I am always looking for highly motivated undergraduate and graduate students with strong backgrounds in:
If you are interested in pursuing interdisciplinary research in my group, please read this blog post and follow its instructions for contacting me.