I am currently a first year medical student in the MD-PhD program at Columbia University Vagelos College of Physicians and Surgeons.
I graduated Cornell University in May 2019, where I did research with Clarence Lee and finished with a degree in Biometry & Statistics. After graduation, I was a post-graduate research associate at Yale School of Medicine (Department of Neurology) working with Jennifer Kim on delayed cerebral ischemia detection using EEG.
My research interests include data analytics, biostatistics, informatics, and their intersection with clinical medicine; more specifically, how data science can be used to improve clinical care. I’m also passionate about making coding, data science, and statistical expertise more accessible to all.
M.D., Ph.D.
Columbia University, Expected 2028
B.S. Biometry & Statistics
Cornell University, 2019
Yale (2019-2021), PI: Dr. Jennifer Kim
Aneurysmal subarachnoid hemorrhage (SAH) accounts for only ~3% of all stroke types, but carries high morbidity and mortality. One of the key contributors to this high mortality is delayed cerebral ischemia (DCI). This project looks into improving prediction for both DCI and functional outcomes after SAH by using multimodal (EEG and transcranial doppler) data.
Columbia (2018), PI: Dr. Denise Lee
Easy data visualization of odds ratios–Github Repo coming soon
Chen HY, Elmer J, Zafar SF, Ghanta M, et. al (2021). Combining Transcranial Doppler and EEG Data to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage. In Neurology.
Baang HY, Chen HY, Herman AL, Gilmore EJ, Hirsch LJ, Sheth KN, Petersen NH, Zafar SF, Rosenthal ES, Westover MB, Kim JA (2021). The utility of quantitative electroencephalography in detecting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. In Journal of Clinical Neurophysiology.
Lee D, Walker MD, Chen HY, Chabot JA, Lee JA, Kuo JH (2019). Bone mineral density changes after parathyroidectomy are dependent on biochemical profile. In Surgery.
Neurocritical Care Society 18th Annual Meeting (2020). “Models integrating epileptiform abnormalities, TCD, and clinical variables improve DCI prediction after SAH.”
American Academy of Neurology 72nd Annual Meeting (2020). “TCD and EEG Combind Better Predicts DCI after SAH.”
In my spare time, I love beautiful note taking, music, writing, and visual design. A fun fact about me would be that I published a historical fiction novel when I was in high school~