Computational Multi-omics for Age-related Diseases

We are actively seeking two computational associates and are always open to graduate students whose research interests align with ours (see openings) !

Our research focuses on computational modeling of human multi-omics data to uncover the mechanisms driving cardiovascular and other age-related diseases, aiming to identify personalized strategies for disease prevention and treatment.

Key areas of interest:

• Age-related clonal hematopoiesis (CH; clonal expansions in the blood-forming system) and its somatic-germline interplay, with implications for managing CH-associated diseases.

• Omics-based instruments for testing causal hypotheses in studying diseases.

• Disease risk prediction using static (germline genetic) and dynamic (time-varying factors) data (in collaboration with Dr. Jin Jin).

• Machine learning + proteomics for drug discovery (in collaboration with Dr. Ahmed Alaa).

• Deep learning-derived phenotypes + genetics for understanding diseases (in collaboration with Dr. Vineet Raghu).

Our research is largely strengthened by the extensive human and murine datasets we have access to, and we are deeply grateful to our collaborators and cohort PIs for their trust.