Stanford University
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Eun Young Choi, PhD
Instructor, Neurosurgery
Current Research and Scholarly InterestsDr. Choi is broadly interested in mapping the brain’s connectivity and characterizing its functional dynamics using advanced neuroimaging and clinical neurophysiological methods, as well as translating this information to identify individual-specific neurosurgical targets and treatment strategies using neuromodulation (e.g., deep brain stimulation). Her prior work has mapped the functional and connectional organization of the cortex, striatum, and thalamus using neuroimaging and NHP neuroanatomical tract-tracing. She is currently focused on the use of thalamic deep brain stimulation to improve memory and attention in traumatic brain injury and Alzheimer’s disease, and the development of precise, individual-specific adult and pediatric brain atlases and network maps.
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Hongchan Choi
Affiliate, Music
BioAs a musician/engineer, Hongchan strives to push boundaries of the open web platform for music technology.
He studied with Jonathan Berger, Chris Chafe, and Ge Wang for my doctoral research at CCRMA between 2010 and 2014. After completing the doctoral thesis 《Collaborative Musicking on the Web》 in 2014, Hongchan joined Google Chrome where he currently leads various web music technology projects as a Technical Lead and Manager.
Outside of Google, he serves as a co-chair of W3C Audio Working Group driving a collective effort of multiple industry professionals to design advanced audio capabilities for the web platform. Hongchan also continues to engage with academia as an Adjunct Professor at CCRMA, Stanford university. -
Jeff Choi
Fellow in Surgery - General Surgery
BioChief Surgical Critical Care Fellow ('25-'26).
Former Stanford General Surgery resident (Administrative Chief Resident '24-'25).
Ex-president of Surgeons Writing About Trauma.
Founding course instructor of SURG238: Practical Introduction to Surgical Research.
My research vision is to save or better the most possible number of lives using data. My group focuses on:
1) building and implementing useful clinical prediction tools
2) bringing various AI applications (e.g. NLP, vision) to the bedside
3) optimization algorithms and geospatial analysis to improve access to care
4) challenging dogma in surgical practice with contemporary data
We collaborate with trauma surgery and data science colleagues in the US and South Korea.
My passions are advocating for higher statistical and machine learning methodology quality in surgical literature, and fostering the growth of the next generation of clinician-data scientists.
