fiona x. cai
Hi! I’m a second year PhD student in the Department of Biomedical Data Science at Stanford University where I am fortunate to be advised by Emily Alsentzer and Serena Yeung-Levy. My current research interests lie at the intersection of machine learning, computer vision, and representation learning and their applications to healthcare and medical imaging. My work is supported by the NSF Graduate Research Fellowship.
I previously completed my B.S and M.Eng in Computer Science at MIT, where I was advised by Prof. John Guttag. In the past, I have worked on clinical informatics problems using traditional statistical machine learning approaches for tasks like clinical trial recruitment and probabilistic phenotyping.
publications
- Uncertainty Inclusive Contrastive Learning for Leveraging Synthetic Images
- Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening
- PheProb: Probabilistic Phenotyping Using Diagnosis Codes to Improve Power for Genetic Association Studies
- On-Body Piezoelectric Energy Harvesters through Innovative Designs and Conformable Structures