Hello,

I am a postdoctoral researcher working with Dr. Brett Beaulieu-Jones, where I study how reinforcement learning can be used to guide treatment decisions for critically ill patients with septic shock. I value building models that can be understood, questioned, and trusted, both in their structure and in the assumptions that shape them, so that they may safely guide clinicians.

I recently completed my PhD in Biophysical Sciences at the University of Chicago, where I was jointly advised by Alexander T. Pearson, MD, PhD, and Samantha Riesenfeld, PhD. During my doctoral training, I applied machine learning methods to multi-modal cancer data to better understand the biological and clinical factors driving individual disease trajectories.

Prior to my PhD, I worked as a research technician (2018–2020), studying novel therapies for aggressive prostate cancer. My experiences working alongside clinical teams and interacting with patients in clinical trials shaped my interest in developing more effective, personalized treatment strategies.