Summary
Rashmie Abeysinghe is an Assistant Professor at UTHealth Houston with 10 years of experience applying machine learning, deep learning, NLP, and big data methods to biomedical and clinical knowledge problems. She holds a PhD in Computer Science from the University of Kentucky and has a track record of research-driven innovation, including DL approaches to identify missing links in major clinical terminologies like SNOMED CT and structural-semantic methods for ontology curation. Her background blends academic research and teaching with practical software engineering skills in Java, Python, C and C++, and prior industry experience building simulation tools and web systems. At UTHealth she transitioned from research scientist to faculty, continuing work at the intersection of informatics and healthcare. Colleagues describe her work as both methodologically rigorous and focused on high-impact, real-world biomedical vocabularies and datasets.
10 years of coding experience
5 years of employment as a software developer
BSc (Hons), Computer Science, BSc (Hons), Computer Science at University of Peradeniya
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Kentucky
Trinity College, Kandy
English, Sinhalese