Yale University · Mathematics & StatisticsAlzheimer's Imaging and Genetics Lab
Yize Zhao · New Haven, Connecticut
Research Focus
Dr. Yize Zhao's research lab at Yale University focuses on developing new statistical methods to better understand Alzheimer’s disease (AD). The lab aims to integrate various brain imaging techniques with genetic data to identify how genetic factors influence the risk and progression of AD. By creating advanced analytical tools, the lab hopes to uncover new insights into the biological mechanisms behind Alzheimer’s, ultimately contributing to improved prevention and treatment strategies for this complex disease.
Alzheimer's diseaseimaging geneticsBayesian modelinggenetic variationneuroimagingbiomarkersSNP interactionsheritable traitspathological mechanisms
Research Aims
4AIM 01Construct novel multimodal imaging endophenotypes for AD risk and progression.
AIM 02Identify pleiotropic SNPs and interactions associated with genetic biomarkers.
AIM 03Investigate the pathological mechanisms linking genetic variations to AD through imaging.
AIM 04Develop and evaluate user-friendly analytical tools and pipelines for real data analysis.
Skills the Lab Values
Bayesian modelingmultimodal imaging techniquesdata analysisgenome-wide association studies (GWAS)statistical programming (e.g., R, Python)biomarker discoverylongitudinal data analysisgenetic analysisendophenotyping
Output against the department
Publications301top 37% of dept.48th of 131
this lab
most publishedleast published
Citations8.7ktop 47% of dept.61st of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.