I am a research fellow in Industrial and Operations Engineering at the University of Michigan, working with Julie Ivy, PhD. My research broadly focuses on applying machine learning to improve patient outcomes following traumatic brain injury (TBI). I completed my PhD in September 2024 at the University of Michigan, under the advisement of Fred Korley, MD, PhD, and Seth Guikema, PhD. In 2021, I was awarded the Ruth L. Kirschstein Predoctoral Individual National Research Service Award (NIH F31) for my work on data-driven phenotyping of severe TBI, and I was previously a Bioinformatics Training Program Fellow (NIH T32) from 2018-2020.

I hold a BA in Public Health Studies from Johns Hopkins University and an MS in Biochemistry and Molecular Biology from the Johns Hopkins Bloomberg School of Public Health. I also led the Kids Who Code program within the Center for Complex Particle Systems (COMPASS) at the University of Michigan. From 2020-2022, I served as Director of Girls Who Code at the University of Michigan, where I taught introductory Python programming and data science. Additionally, I taught Arduino to high school seniors enrolled in the Engineering OnRamp program at the University of Michigan.