About me

I’m a PhD candidate in the Intelligent Systems Program at the University of Pittsburgh, where I previously got my Master’s degree. My research interests include natural language processing, machine learning, knowledge representation, knowledge graphs and applications of these topics for biomedical discoveries and improving healthcare. My PhD research applies knowledge graphs, ontologies, literature-based discovery, embedding approaches, and large language models to generate mechanistic hypotheses for pharmacokinetic natural product-drug interactions in the Boyce lab (primary advisor - Dr. Richard Boyce) and at the NaPDI Center.

In Summer 2023, I worked as a research intern at the National Center for Biotechnology Information (NCBI) at the National Institutes of Health (NIH) in biomedical natural language processing with Dr. Zhiyong Lu. I was a member of the JAMIA Student Editorial Board (2022-2023). I am also a member of the American Medical Informatics Association (AMIA) and the AMIA student working group (STWG), where I contributed to the STWG newsletter as the co-editor (2021-2022).

Technical Skills: Python, R, PostgreSQL, Neo4j, Scikit-learn, Keras, Pandas, Git, Linux environment, NLTK, Networkx, RDF, OHDSI toolkit, GPT

Strengths and Interests: Machine Learning, Natural Language Processing, OMOP Common Data Model, ETL of Electronic Health Records data, Knowledge Graphs, Knowledge Representation, Biomedical Ontologies, Literature-based discovery, Large Language Models, Bayesian Networks, Semantic Web, Data Mining

Academic CV Resume

Research Projects