Summary
Claire Sun is an Associate Researcher and machine learning practitioner in New York with a decade of cross-disciplinary experience at the intersection of neuroscience, neurotechnology, and applied ML. She develops and deploys computational neuroimaging and real-time anomaly-detection models—ranging from fMRI connectivity analyses with AFNI/FreeSurfer and GIMME to Keras-based autoencoders for seizure detection—while shepherding multi-site collaborations and quality control for large consortia like ENIGMA. Comfortable in both research and product contexts, she has built experiment pipelines, behavioral tasks in Psychopy, and conversational health UIs using React, Dialogflow, and cloud services. Claire’s background in neuroscience and computer science gives her a practical edge in translating brain-based hypotheses into reproducible code and signal-processing solutions. Notably, she combines hands-on scripting and statistical analysis (bash, R, Python) with teaching and community organizing—skills that surface in her roles as tutorial organizer and TA.
10 years of coding experience
6 years of employment as a software developer
Neuroscience, B.S., Neuroscience, B.S. at Brandeis University
English, Chinese