James Anibal is a DPhil student at Reuben College, an NIH-Oxford Scholar, and a bioinformatics instructor at the Foundation for Advanced Education in the Sciences (FAES@NIH). In 2020, he graduated with a BSc in Computer Science from Case Western Reserve University. His undergraduate research focused on developing machine learning algorithms to predict immunotherapy response from single-cell data.
At Oxford, James is being supervised by Prof. David Clifton. He plans to work closely with the NIH Clinical Center in the United States and the Oxford University Clinical Research Unit (OUCRU) in Vietnam. His goal is to create new predictive methods that use large volumes of PPG and ECG data to assist physicians practicing in low-resource healthcare environments.
James is interested in designing and implementing novel deep learning methods for the small, uncertain datasets that are often generated in clinical settings.
James is currently developing deep learning methods to predict the severity of COVID-19 from PPG data and EHR. This project is in collaboration with the Oxford University Clinical Research Unit (OUCRU) in Ho Chi Minh City, Vietnam.