Current Grant Support:

NIH U01 AG070112-01A1 (Zhi, Fornage, Ji) 07/01/2021-06/30/2026
Title: Genetics of deep-learning-derived neuroimaging endophenotypes for Alzheimer’s Disease
Project Goal: The project goal is to develop new deep learning (DL) based approaches for deriving AD-relevant endophenotypes from neuroimaging data, and associating these endophenotypes to genetic data.
Role: Contact PI

NIH R56 HG011509-01A1 (Zhi, Zhang) 09/24/2021-08/31/2022
Title: Genome Informatics for Biobank-scale Data
Project Goal: This project will develop new informatics methods and tools that substantially improve the efficiency and accuracy of the state-of-the-art on haplotype phasing, genotype imputation, and relatedness inference.
Role: Contact PI

NIH/NHGRI R01HG010086 (Zhi, Zhang) 06/01/2018-03/31/2022
Title: Scalable methods for identity by descent
Project Goal: The aim of the project is to develop and evaluate accurate and efficient methods and tools for detecting Identity-by-Descent (IBD) and local ancestry information in large genotyped cohorts, resources of increasing importance in the era of precision medicine. If successful, this project will advance genetic research by offering efficient informatics tools to researchers that can reveal detailed genetic relationships in very large genotyped cohorts.
Role: Contact PI