Teams at Massachusetts Institute of Technology

Design, build, and deploy scalable ML pipelines for multimodal neuroscience data. Research, train, and deploy advanced deep learning and reinforcement learning models to predict brain states, detect pathological patterns, and generate personalized neuromodulation parameters. Select AI frameworks and cloud infrastructure, collaborate with computational neuroscientists, and contribute to IP and publications.

Design, simulate, fabricate, and characterize micro- and nano-electronic devices for wireless brain stimulation. Perform cleanroom photolithography, thin-film deposition, etching, and electrical/material characterization. Collaborate with biomedical partners to explore implant applications.

Design, simulate, fabricate and characterize micro/nano neural electrodes and interfaces using cleanroom facilities. Perform electrochemical characterization (CV, EIS, voltage transients), failure/degradation testing, and explore biomedical implant applications. Support in vitro/in vivo recording and stimulation assessments and electrophysiology data analysis.