Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research interests include Biomedical Text Mining and Ontologies, Bioinformatics and Genomic Networks, Genomics and Phylogenetic Studies, and Semantic Web and Ontologies.
OpenScientist: evaluating an open agentic AI co-scientist to accelerate biomedical discovery
A compendium of human gene functions derived from evolutionary modelling
Mondo: integrating disease terminology across communities
The Unified Phenotype Ontology : a framework for cross-species integrative phenomics
The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics
The Gene Ontology knowledgebase in 2023
A guide to the BRAIN Initiative Cell Census Network data ecosystem
Brain Data Standards - A method for building data-driven cell-type ontologies
Author Correction: Brain Data Standards - A method for building data-driven cell-type ontologies
The GA4GH Phenopacket schema defines a computable representation of clinical data
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science
Progress toward a universal biomedical data translator
NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study
The BRAIN Initiative Cell Census Network Data Ecosystem: A User’s Guide
Brain Data Standards - A method for building data-driven cell-type ontologies
The Human Phenotype Ontology in 2021
The case for open science: rare diseases
How many rare diseases are there?
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species
The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution
KBase: The United States Department of Energy Systems Biology Knowledgebase
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources