About Me
Hello! I'm Jake, a mechanical engineer based in Seattle. I specialize in bridging the gap between theoretical simulation and physical implementation, with a focus on nuclear fusion and autonomous systems.
My work leverages deep reinforcement learning to optimize complex geometries and control systems for high-energy applications.
Projects
RL Airfoil Geometry Design
Application of reinforcement learning algorithms to optimize airfoil shapes for aerodynamic efficiency and performance.
Learn More →
RL for Fusion Ignition
Simulation of fusion ignition conditions utilizing reinforcement learning to control plasma stability and confinement parameters.
Learn More →In Progress
Magnetohydrodynamic Plasma Confinement Simulation
Developing particle-in-cell simulations of plasma confinement and magnetic field interactions using WarpX, an open-source electromagnetic PIC code, to model fusion-relevant plasma dynamics and instabilities.
View Details →