Academic
Research & Teaching
Applied mathematics, mathematical physiology, and AI
Mathematical modeling of physiological systems
My research sits at the intersection of applied mathematics, physiology, and machine learning. During my postdoctoral work at the University of Michigan, I developed patient-specific mathematical models of cardiovascular control, studying how heart failure and autonomic neuropathy affect circulatory dynamics at both systemic and cellular scales.
My graduate minor in Physiology and years of yoga teacher training create an unusual vantage point: I bring mathematical rigor to questions of embodiment, autonomic function, and the measurable effects of breath and movement practices on human health.
PhD Research
Mathematical modeling of cardiovascular function. Dissertation focus: autonomic control of heart rate and blood pressure. NC State University, 2019.
Postdoctoral Research
Patient-specific cardiovascular models; heart failure and autonomic neuropathy. Frankel Cardiovascular Center, University of Michigan. Supported by T32 training grant.
Industry Research
AI and machine learning pipeline development. Computer vision, LLM integration, CI/CD Python modules. Applied Research Associates.
College instruction
Calculus I
Central Piedmont Community College (CPCC)
Tuesday / Thursday · 6:00 pm
Charlotte, NC
About the course
An introduction to differential calculus: limits, derivatives, and their applications. Emphasis on conceptual understanding alongside computational fluency. Students are encouraged to reach out for office hours or tutoring support.
CV & Resume
For a full list of publications, presentations, and academic history, see my CV. A shorter industry-focused resume is also available.
CV and resume PDFs will be linked here directly once the site is live.