Rashmie Abeysinghe

Assistant Professor at The University of Texas Health Science Center at Houston (UTHealth Houston)

Houston, Texas, United States
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Summary

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Senior
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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.
code10 years of coding experience
job5 years of employment as a software developer
bookBSc (Hons), Computer Science, BSc (Hons), Computer Science at University of Peradeniya
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Kentucky
bookTrinity College, Kandy
languagesEnglish, Sinhalese
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Github Skills (16)

owl9
geneontology9
ontology8
fdr7
rdf7
genomics7
genes6
go4
ontologies4
python3
semantics2
inference2
compounds2
scientific-publications1
dictionary1

Programming languages (3)

JavaMakefilePython

Github contributions (5)

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rashmie/SSIF

Aug 2019 - Mar 2020

Subsumption-based Sub-term Inference Framework
Contributions:5 commits, 8 pushes, 1 branch in 6 months
inferencesubsumptionterm
Contributions:21 pushes in 1 year 7 months
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Rashmie Abeysinghe - Assistant Professor at The University of Texas Health Science Center at Houston (UTHealth Houston)