Engineering the journey
From campus experiments to space-focused systems.
Each stop has been a different kind of lab: Howard, Johns Hopkins, MIT, Muon Space, Tree Technologies—and next, Stanford Aero/Astro.
I like working where physics, computation, and people all collide. Whether it is solar panels in harsh environments or students trying to find a dining hall that is actually open, the goal is the same: make complex systems feel simple.
Howard · AFTERLAB
Built thermal models for TIGERISS using Thermal Desktop and ANSYS SpaceClaim to understand ISS payload environments.
JHU · SPIRE
Helped create tools to predict synthesis conditions for thousands of new materials in seconds.
MIT · Hypersonics
Used CFD and machine learning to rethink how dust comes off solar panels in extreme conditions.
Stanford · Aero/Astro (incoming)
Starting a PhD focused on computational methods and ML for aerospace design, supported by the Knight-Hennessy Scholars program.
CFD & thermal modeling Machine learning for physics Student-centered tools