Hsin Yi "Cindy" Chen

MD-PhD Student (M1)

Columbia University
Vagelos College of Physicians and Surgeons

Hi! I'm Cindy.

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. 

Research Interests

  • Biostatistics
  • Machine Learning
  • Clinical Research
  • Data Visualization


M.D., Ph.D.

Columbia University, Expected 2028

B.S. Biometry & Statistics

Cornell University, 2019



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

(2021). The utility of quantitative electroencephalography in detecting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. In Journal of Clinical Neurophysiology.

 (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.”

Fun Stuff

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~