USC Brain Stimulation Lab
Directed the USC Brain Stimulation Laboratory, conducting research on tDCS and TMS applications for motor learning, addiction, rehabilitation, and cognitive enhancement.
A chronological view of the labs, cohorts, tools, and companies I've helped build or run. Each block spans its start year to now (or the year I stepped away).
Directed the USC Brain Stimulation Laboratory, conducting research on tDCS and TMS applications for motor learning, addiction, rehabilitation, and cognitive enhancement.
Teaching Intro to Computer Programming and Video Game Development (Unity3D) at the SC Governor's School for Science and Mathematics - bridging neuroscience and technology education for advanced high schoolers.
Former Managing Director of the USC McCausland Center - providing cutting-edge MRI infrastructure and expertise for neuroscience research across the university and the broader research community.
Core investigator at the Center for the Study of Aphasia Recovery - the NIH-funded program project ($23M+) led by Dr. Julius Fridriksson studying language recovery after stroke. We released the Aphasia Recovery Cohort as an open-source chronic stroke repository.
Director of the USC Aging Brain Cohort - a multimodal lifespan MRI database linking brain structure, function, genetics, cognition, and behavior in healthy aging adults. Open-source data. USC Excellence Initiative ($3.25M).
Core Investigator for the South Carolina Alzheimer's Disease Research Center neuroimaging program - applying structural and functional MRI to understand Alzheimer's progression, risk factors, and biomarkers.
Co-investigator on NIH R01MH133701 ($2.1M) extending ezBIDS, NiiVue, and dcm2niix for user-friendly cloud-based neuroimaging interfaces. Making brain imaging data more accessible to the research community.
Contributing to Brainchop - an edge-computing ecosystem for deploying neuroimaging AI models directly in the browser. No server needed, no data leaves the user's machine.
Co-founder of allt.ai, my primary current research program. We use stroke aphasia - a century of structured lesion-deficit data - as ground truth for mechanistic interpretability of large language models. The paper thread: BLUM (submitted to Patterns), PRISM, SLM, FAULT / INFER / LMN, Cross-Task Fingerprints, Attention Is Not Enough.