Grants

Novel computational strategies to deconvolute co-occurring conditions in Down syndrome (2022)

Manubot AI Editor: a publishing infrastructure for AI-assisted academic authoring (2023)

NIH Pathway to Independence Award (K99/R00) (2023)

Automating scientific manuscript preparation via AI (2024)

Research Interests for Patients

Our research is focused on developing novel machine-learning methods to advance key computational aspects of precision medicine. We have a particular focus on the integration of genetic studies with relevant molecular patterns extracted from multi-omics data. For this, we aim to develop the next generation of methodologies that will consolidate large and heterogeneous sources of biomedical information to extract biological insight to ultimately improve human health.