I'm a computational researcher who analyzes sensor, imaging, and video data across clinical, animal, and computational studies — and, unusually, I also build the microcontroller-based instruments that capture it. I understand the full chain from sensor to signal to result. My aim is to move these methods toward clinical digital biomarkers and open-source neurotechnology.
Open to visiting research positions & research collaborations"I think about a neuroscience experiment the way I think about any instrument: the quality of the science is bounded by the quality of the tools that record it. So I build the tools first — then use them to ask the questions I care about."
I came to neuroscience through biomedical engineering, and that order still shapes how I work. Before I ask what a dataset means, I ask how it was recorded, what noise it carries, and whether the instrument that produced it can be trusted. My doctoral work is the clearest expression of that: a driving-inspired paradigm in which I built the entire measurement stack — sensor to pose-estimation to statistics — to quantify a learned motor skill and its degradation under amyloid pathology.
Turning raw data into measures: tactile/contact time series, markerless kinematics from video (DeepLabCut), and medical-image analysis — across clinical, animal, and computational studies.
Learn morePython pipelines and mixed-effects modeling built so another researcher can rerun the analysis and reach the same result — with explicit quality control at every step.
Learn moreThe edge most analysts don't have: I also build the acquisition hardware — Arduino, tactile/contact sensing, embedded prototyping — so I control the data from the sensor up.
Learn moreWhere I'm heading: moving these computational methods toward human clinical application — digital biomarkers and open, shareable analysis tools.
Learn moreA full experimental stack — custom apparatus, tactile-sensor acquisition, 60 fps video with DeepLabCut kinematics, and a mixed-effects analysis pipeline — that measures an acquired motor skill and how amyloid pathology degrades it.
An Arduino and stepper-motor continuous-passive-motion wrist device, linked to a Processing 3 joystick that drives a simple 2D game — an early, human-facing rehabilitation system.
I'm seeking a visiting research position, and open to collaborations with labs working on biosignal and movement-data analysis, digital biomarkers, computational neurotechnology, or open-source scientific tools.
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