I started in electrophysiology and applied sensing, moved through doctoral work in neuroergonomics and multimodal imaging, and now spend most of my time on fNIRS methods, research software, and clinical systems. The details matter, but the larger pattern matters more: build tools that help people understand human data without hiding the complexity.
I prefer exact wording, reproducible workflows, and interfaces that feel calm under pressure. That combination has helped me move comfortably between research labs, clinical settings, and software work.
The thread from one chapter to the next is consistent even as the tools change.
Work at New College of Florida, NASA Langley, NASA Jet Propulsion Laboratory, and the University of South Florida established a practical foundation in EEG, physiological measurement, and human-systems thinking.
At UC San Diego, my work centered on neural oscillations, ecological task design, source-level modeling, and the integration of electrophysiological and hemodynamic measures in real experiments.
Direct conventional MEG work, cerebellar aviation fMRI, and fNIRS methods connect a strong technical record to clinically practical questions about how measurement systems are actually used.
My present roles combine lab teaching, browser-based fNIRS analysis, and clinical systems development. That mix keeps the work grounded in both research rigor and everyday operational reality.
What I value
Where I am strongest
I also have a longstanding interest in Theravada Buddhism. Time spent at Metta Forest Monastery with Thanissaro Bhikkhu helped sharpen how I think about attention, discipline, and the quieter kind of precision that sits underneath good work.