University of North Carolina at Chapel Hill · Mathematics & StatisticsZou Health Lab
Baiming Zou · Chapel Hill, North Carolina
Research Focus
Dr. Baiming Zou's lab focuses on using advanced machine learning techniques to analyze complex health data, particularly related to heart, lung, blood, and sleep disorders. By addressing the challenges of heterogeneous patient populations and intricate disease interactions, the lab aims to uncover deeper causal relationships and improve individual health outcomes through tailored interventions. Their work combines statistical modeling with robust data analysis to inform better healthcare strategies.
machine learningbiomedical datahealth outcomesdeep learningcausal relationshipshealth interventionsdata analyticsHispanic health researchpredictive modelingfeature importance
Research Aims
5AIM 01Develop novel machine learning methods for analyzing confounding factors in health data.
AIM 02Create deep learning frameworks for individualized health management regimens.
AIM 03Establish a scalable method for identifying key biomarkers linked to health outcomes.
AIM 04Apply advanced analytics to the Hispanic Community Health Study data.
AIM 05Improve clinical decision-making through robust data interpretations.
Skills the Lab Values
data analysismachine learningmodeling techniquesstatistical programmingbiomedical data analysisdeep learning frameworksdata visualizationcomparative health studiesfeature importance testingPython programming
Output against the department
Publications1,167top 2% of dept.3rd of 131
this lab
most publishedleast published
Citations33ktop 18% of dept.23rd 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.