Helen Zhou, PhD Student
I am a third-year Ph.D. student in the Machine Learning Department at Carnegie Mellon University. I pursue research in machine learning, natural language processing, and their applications to healthcare. Prior to CMU, I completed my masters of engineering (M.Eng.) degree at MIT, advised by David Sontag in the Clinical Machine Learning Group. In my undergraduate years, I researched at the MIT Media Lab with Soroush Vosoughi and Deb Roy in the Laboratory for Social Machines, and collaborated with Scott Greenwald and Pattie Maes in the Fluid Interfaces Group.
Research Interests: Machine Learning for Healthcare
Publications
Model Evaluation in Medical Datasets Over Time
Helen Zhou*, Yuwen Chen*, Zachary Lipton
Conference on Health, Inference, and Learning (CHIL), 2023Domain Adaptation under Missingness Shift
Helen Zhou, Sivaraman Balakrishnan, Zachary Lipton
Artificial Intelligence and Statistics (AISTATS), 2023Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19
Helen Zhou, Cheng Cheng, Kelly Shields, Gursimran Kocchar, Tariq Cheema, Zachary Lipton, Jeremy Weiss
American Medical Informatics Association (AMIA) Annual Symposium, 2022Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data
Cheng Cheng*, Helen Zhou*, Jeremy Weiss, Zachary Lipton
American Medical Informatics Association (AMIA) Annual Symposium, 2021Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Helen Zhou*, Cheng Cheng*, Zachary Lipton, George Chen, Jeremy Weiss
International Conference on Artificial Intelligence in Medicine (AIME), 2020