I’m working to make fusion energy practical. I turn complex experimental data into measurements, models, and control systems that help us understand a plasma—and decide what to do next.
Signal processing, machine learning, and real-time control.
Extract the signal. Close the control loop. Understand what a model can learn. Three ways I connect scientific questions to tools that work.
Magnetics measurements from a DIII-D plasma discharge. The bright traces show how the signal changes in time and frequency.
Scientific measurement
A tool for extracting coherent and transient features from fluctuating time series—turning a crowded spectrogram into something a researcher can measure.
Lead author · signal extraction & scientific software
Real-time experimental control
Image-based feedback for divertor detachment at DIII-D: connecting what the camera sees to how an experiment responds.
Lead author · real-time emission-front control experiments
Learning & uncertainty
A controlled setting for studying learning: separate ambiguity in the data from the error a model could still reduce.
Co-author · learning dynamics & uncertainty research
Ideas, experiments, and things I’m learning along the way. A place to follow the questions behind the projects.
If your work involves difficult data, physical systems, or an idea you want to understand better, I’d like to hear about it.
Scientific machine learning, plasma diagnostics, and control. Bring a question, a dataset, or an experiment.
Discuss a collaborationSignal analysis, scientific software, GPU computing, or a technical website. Let’s talk about what you need.
Discuss a project or rolePhysics, mathematics, and machine learning—from understanding the fundamentals to developing a research project.
Teaching & mentorshipLooking for the cooler, more handsome ice skater? Click here →