Area of research
Molecular Biology · Genetics
Research interest
Research interests include Biomedical Text Mining and Ontologies, Genomics and Rare Diseases, Semantic Web and Ontologies, and Bioinformatics and Genomic Networks.
The Cell Ontology in the age of single-cell omics
Long COVID Incidence Proportion in Adults and Children Between 2020 and 2024: An Electronic Health Record-Based Study From the RECOVER Initiative
The Unified Phenotype Ontology : a framework for cross-species integrative phenomics
Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort
Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID
Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study
A corpus of GA4GH phenopackets: Case-level phenotyping for genomic diagnostics and discovery
Effectiveness of mRNA Booster Vaccine Against Coronavirus Disease 2019 Infection and Severe Outcomes Among Persons With and Without Immune Dysfunction: A Retrospective Cohort Study of National Electronic Medical Record Data in the United States
The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics
Coding long COVID: characterizing a new disease through an ICD-10 lens
Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
Biomonitoring and precision health in deep space supported by artificial intelligence
Biological research and self-driving labs in deep space supported by artificial intelligence
The Childhood Cancer Data Initiative: Using the Power of Data to Learn From and Improve Outcomes for Every Child and Young Adult With Pediatric Cancer
Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
Sample average treatment effect on the treated (SATT) analysis using counterfactual explanation identifies BMT and SARS-CoV-2 vaccination as protective risk factors associated with COVID-19 severity and survival in patients with multiple myeloma
Identifying who has long COVID in the USA: a machine learning approach using N3C data
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
Characteristics, Outcomes, and Severity Risk Factors Associated With SARS-CoV-2 Infection Among Children in the US National COVID Cohort Collaborative
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
Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study
Unifying the identification of biomedical entities with the Bioregistry
Association Between COVID-19 and Mortality in Hip Fracture Surgery in the National COVID Cohort Collaborative (N3C): A Retrospective Cohort Study
GA4GH Phenopackets: A Practical Introduction
GA4GH: International policies and standards for data sharing across genomic research and healthcare
Association Between Immune Dysfunction and COVID-19 Breakthrough Infection After SARS-CoV-2 Vaccination in the US
Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative