What are my active projects?
On one front, I’m interested in better understanding the health of lung transplant recipients and anticipating potentially fatal complications. This work relies on biological and clinical data collected through the Shands transplant program. I use statistical models for both causal inference and predictive modeling, and I’m especially interested in identifying biological risk markers and understanding group differences in outcomes.
I also collaborate with clinical and medical colleagues in several domains. Past and current projects have focused on renal capillary development, cellular signal transduction, screening and access to care for patients with rare diseases, and responsiveness to psychiatric treatment. I’m especially interested in applications of data visualization, exploratory analysis, and interpretable machine learning.
Finally, my work relies heavily on statistical software, mostly in R, and I coordinate or contribute to several open-source development projects to ensure that these tools are widely available and easily accessible. These efforts include a suite of packages for topological data analysis and extensions to the popular Tidyverse and Tidymodels collections.
Who should contact me?
My active mentored projects depend in part on mentee involvement! I welcome inquiries from interested students at any stage of any program. While the above projects are illustrative, i’ll be glad to chat about any potential research subject that interests you. Any project will require some self-directed training in the medical/health topic, mathematical theory, and software implementations, as well as participation in regular updates and agenda-setting meetings with other research assistants.