I build and operate the systems that turn passive smartphone and wearable data into research-grade behavioral signal — and I run the same rigor on myself.
I'm a product leader working at the intersection of digital health, clinical research operations, and mobile/backend engineering. I specialize in developing and maintaining the iOS, Android, and cloud infrastructure behind large-scale digital phenotyping studies.
As Head of Platform for the Beiwe Research Platform at Harvard T.H. Chan School of Public Health, I lead product management for a mobile research tool used in large-scale behavioral health studies — working directly with clients, researchers, and engineers to ship features, debug across the full stack, and manage the pipeline that turns high-throughput sensor data into meaningful behavioral metrics.
Before this, I worked in healthcare data analytics, building workflows to extract insight from complex financial and clinical datasets. My background spans neuroscience, software, and operations — which is mostly what lets me translate what researchers and clinicians actually need into a real development roadmap.
Outside of work: running, skiing, videography, drones, Legos, wearables — and turning all of the above into personal datasets I actually analyze. Reach out if you're working on something at this intersection.