Columbia University in the City of New York · Mathematics & StatisticsAlzheimer's Disease Biomarkers Lab
Zhonghua Liu · New York, New York
Research Focus
Dr. Zhonghua Liu's lab focuses on developing advanced statistical methods to analyze complex genetic and multi-omics data, particularly in relation to Alzheimer's disease. The lab aims to identify biomarkers that can help diagnose the disease early and inform personalized treatment strategies. By leveraging innovative computational algorithms, the team works on understanding the biological processes behind neurodegeneration to improve health outcomes, especially in diverse populations.
Alzheimer's diseasemulti-omicsbiomarkersMendelian randomizationcausal inferenceneurodegenerationgenetic analysismachine learningpersonalized medicine
Research Aims
5AIM 01Develop robust methods for analyzing high-dimensional multi-omics data.
AIM 02Identify causal relationships between omics biomarkers and Alzheimer's disease outcomes.
AIM 03Create tools for personalized medicine based on heterogeneous disease etiology.
AIM 04Apply advanced computational algorithms to multi-ethnic cohorts.
AIM 05Establish software solutions for high-performance and cloud computing environments.
Skills the Lab Values
Statistical modelingcausal inference analysisMendelian randomization methodsmachine learning algorithmsdata analysis in R or Pythoncloud computing applicationshigh-performance computingbiomarker identificationgenetic data analysis
Output against the department
Publications385top 24% of dept.32nd of 131
this lab
most publishedleast published
Citations7.7ktop 50% of dept.66th 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.