Research Interests

I am broadly interested in using computational methods to extract actionable knowledge from biomedical and biological data. I am particularly interested in using these methods to address human disease.

My current research focuses on developing performant machine learning algorithms to extract knowledge from biomedical data. This involves for example applying unsupervised machine learning on EHR data for identifying subtypes of human diseases such as long COVID, and constructing and performing graph machine learning on knowledge graphs such as KG-COVID-19 (https://github.com/Knowledge-Graph-Hub/kg-covid-19) and using this knowledge to identify drugs that may have an effect on COVID-19 outcome.

I am also developing and applying epidemiological methods to validate knowledge extracted from computational experiments using EHR and other clinical data, for example describing the effect of metformin on COVID-19 outcome.

Selected Publications

LinkedIn Profile
ResearchGate Profile