I am an instructor and junior faculty member in the Department of Biomedical Informatics at Harvard Medical School. My research develops machine learning and artifical intelligence methods to improve healthcare and medicine. I have a particular interest in neonatal/perinatal medicine, and how machine learning can be used to improve outcomes of patients in the neonatal intensive care unitu (NICU).
Before moving to Harvard Medical School, I spent 10 great years at North Carolina State University. I earned three undergraduate degrees in Computer Science, Computer Engineering and Electrical Engineering. I received a Masters in statistics for work on Bayesian cell signaling models and a PhD in Bioinformatics for work relating to machine learning methodology for genome wide association studies (GWAS). During my time at NCSU I had the privilege of working with many great people, including my PhD Thesis advisor Jon Doyle and masters advisor and long time collaborator, Alison Motsinger-Reif.