• Served as lead data scientist for the team and refined the lab’s infrastructure for manipulating and analyzing complex, high-dimensional data on the institutional high performance computing cluster• Applied ML/AI models with PyTorch to improve decoders predicting hand movements from motor cortical activity• Migrated >200TB of data between institutional servers with file-level checksums, saving $40,000 in lab funding • Mentored five junior graduate students in all facets of… Show more • Served as lead data scientist for the team and refined the lab’s infrastructure for manipulating and analyzing complex, high-dimensional data on the institutional high performance computing cluster• Applied ML/AI models with PyTorch to improve decoders predicting hand movements from motor cortical activity• Migrated >200TB of data between institutional servers with file-level checksums, saving $40,000 in lab funding • Mentored five junior graduate students in all facets of computational and experimental techniques Show less

• Built generalized linear models to predict brain activity from hand movements and network interactions between neurons, improving predictions by 20% over previously published motor control models• Constructed a data processing pipeline for raw data streams of ~1TB/day that decreased processing time by >100% • Collaborated with a team of neuroscientists and engineers to advance human brain-computer interfaces allowing paralyzed participants to control robotic arms and hands with… Show more • Built generalized linear models to predict brain activity from hand movements and network interactions between neurons, improving predictions by 20% over previously published motor control models• Constructed a data processing pipeline for raw data streams of ~1TB/day that decreased processing time by >100% • Collaborated with a team of neuroscientists and engineers to advance human brain-computer interfaces allowing paralyzed participants to control robotic arms and hands with brain activity• Designed and built a multi-camera data acquisition system that is used by current and future researchers in the lab• Developed a computer vision workflow for quantifying natural arm movements of marmoset monkeys, improving data accuracy by ~75% and processing speed by ~50% Show less

• Taught math, physics, chemistry, and engineering course material to over 100 students, totaling over 3,000 hours.

• Conducted EEG experiments on 25 human participants and processed neural signals. Analyzed and presented behavioral and EEG data.• Designed and executed human motor control research projects using biological recordings including EMG, EEG, and TMS, and motor behavior experimental tasks.