Simulate the future.
Build real systems.

Applying reinforcement learning and rigorous engineering to solving high-energy physics challenges.

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About Me

Hello! I'm Jake, an 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.

Selected Projects

Nuclear Fusion Demo Build

A physical experimental setup demonstrating the core principles of plasma containment and nuclear fusion energy.

Hardware Plasma Physics High Voltage
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RL Airfoil Geometry Design

Application of reinforcement learning algorithms to optimize airfoil shapes for aerodynamic efficiency and performance.

Python Reinforcement Learning Aerodynamics
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RL for Fusion Ignition

Simulation of fusion ignition conditions utilizing reinforcement learning to control plasma stability and confinement parameters.

Google Colab Python Nuclear Physics
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