A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
Taehyo Kim, Qiran Jia, Mony de Leon, Hai Shu
Medical Image Analysis, 104158.
Hello! I am a 5th year Biostatistics Ph.D. Candidate at New York University, advised by
Dr. Hai Shu.
Previously, I completed an M.S. in Computer Science at NYU Courant and a B.A.Sc. in Computer Engineering at the University of Toronto.
My research focuses on developing statistical machine learning methods for high-dimensional biomedical data,
spanning topics of representation learning, error control, interpretability, and medical imaging applications
such as FDG-PET, MRI, ultrasound, and 3D dental point clouds.
I recently worked as a Machine Learning Research Intern at
Dandy
and served as an
FDA OCE–ASA Educational Fellow.
Outside of research, I enjoy playing tennis and golf.
Taehyo Kim, Qiran Jia, Mony de Leon, Hai Shu
Medical Image Analysis, 104158.
Taehyo Kim, Hai Shu, Qiran Jia, Mony de Leon
AISTATS, 238:946-954. Runner-up winner of JSM Student Paper Competition.
Taehyo Kim, Amanda Eads, Brian McFee, Tara McAllister, Hai Shu
MICCAI, 16880:570–580.
Yuyu (Ruby) Chen, Taehyo Kim, Hai Shu, Yang Feng
Statistics and Trustworthy AI for Cross Domain Acceleration, in press.
Tianze Tang, Yanbing Chen, Taehyo Kim, Hai Shu
BMC Medical Imaging, 25, 517.
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Lyndon Chan, Danial Hasan, Xingwen Li, Stephen Yang, Taehyo Kim, et al.
Journal of Pathology Informatics, 15, 100357.