We are recruiting a postdoctoral fellow (link) and are open to students and fellows whose research interests align with ours!
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 (in collaboration with Dr. Trevor Fidler).
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.
Four abstracts led by Linke (CHIP transcriptomics), Xinyu (CHIP modifiers), Vanessa (PRS scoring in clinics), and Anthea (genetic basis of cardiac radiomic features) were accepted to the 2025 ASHG Annual Meeting; Linke’s was selected for an oral presentation and Xinyu’s for a lightning talk!
July, 2025Zhi will serve on the ASHG Program Committee for three years starting January 1, 2026!
July, 2025Three papers we (Zhi and Kathy) contributed to were published in Nature, Circulation, and JACC: Advances!