Trainees

Bowman Brown’s research focuses on developing explainable AI methods to enable learned models to better support clinical decision making.

Emma Croxford’s research focuses on improvements in the development of NLP models that have clinical diagnostic reasoning abilities.

Mason Garza’s research focuses on analysis of the association of HIV infection, the microbiome, meditation, and well-being

Emma Graham Linck’s graduate research focuses on testing methods for the prediction of individualized treatment effects (ITE) from clinical trials.

Parth Khatri’s research focuses on inferring cell-cell communication through ligand-receptor interactions using single-cell and spatial transcriptomic data in various immunological cases.

Saniya Khullar’s research is using machine learning to help uncover molecular and cellular causes for human neurodegenerative, neuropsychiatric, and neurodevelopmental disorders.

Edwin Laboy-Torres’ research focuses on development and application of new tools for analysis of HIV-related proteomics and RNA-protein interactomes.

Da-Inn Lee’s research focus is structure-driven machine learning for 3D genome organization.

Spencer Halberg-Spencer’s graduate research focuses on development of computational tools to advance dynamic gene regulatory network inference from single cell omic data for reprogramming and cancer