Machine learning for fusion energy.

Princeton, NJ · 40.35°N 74.65°W

PhD candidate at Princeton / PPPL, advised by Egemen Kolemen in the Plasma Control Group. Foundation models, real-time control, and the signal pipelines that feed them.

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Jul 2, 2026

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Foundation models for fusion

Building large neural networks trained on heterogeneous tokamak data — specialized to downstream control and diagnostic tasks.

research · now

TokEye

Fast signal extraction for fluctuating time series — real-time, fluctuation-aware feature pipelines for tokamak diagnostics.

Education

Mar 2025 →

Ph.D., Mechanical & Aerospace EngineeringPlasma Control Group · advised by Egemen Kolemen

Princeton University

2023 — 2025

M.A., Mechanical & Aerospace Engineering

Princeton University

2019 — 2023

B.S., Physics & Cognitive Sciencew/ Specialization in Computation

UCLA

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Machine learningmind → for fusion energymatter →.