Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research interests include Biomedical Text Mining and Ontologies, Bioinformatics and Genomic Networks, Semantic Web and Ontologies, and Topic Modeling.
Improving biomedical entity linking with generative relevance feedback.
Desiderata for a biomedical knowledge network: opportunities, challenges and future directions.
Desiderata for a biomedical knowledge network: opportunities, challenges and future Directions.
PubMed 2025cited by 0position: middle
KG-Microbe - Building Modular and Scalable Knowledge Graphs for Microbiome and Microbial Sciences
RETRACTED: An improved constant current step-based grey wolf optimization algorithm for photovoltaic systems
Characterization of methods for mechanistic inference of the gut microbiome in disease
Hypothesizing mechanistic links between microbes and disease using knowledge graphs
BETA: a comprehensive benchmark for computational drug–target prediction
Examining linguistic shifts between preprints and publications.
Creating an Ignorance-Base: Exploring Known Unknowns in the Scientific Literature
Characterizing Patient Representations for Computational Phenotyping
Identifying and classifying goals for scientific knowledge.
Linguistic Analysis of the bioRxiv Preprint Landscape
A Framework for Automated Construction of Heterogeneous Large-Scale Biomedical Knowledge Graphs
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery.
Biomedical Concept Recognition Using Deep Neural Sequence Models
Applying knowledge-driven mechanistic inference to toxicogenomics
Faculty Opinions recommendation of Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.
Faculty Opinions recommendation of Does science advance one funeral at a time?
BUILDING THE NEXT GENERATION OF QUANTITATIVE BIOLOGISTS
AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline
US-German Collaboration: Unravel CNS regeneration - From Fact Extraction to Experiment Design
Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction
Rocky Mountain Regional Bioinformatics Conference Support
Workshop on Creating an Infrastructure for Intelligent Systems in Molecular Biology, November 13-14, 1991, NLM