University of North Carolina at Chapel Hill · Mathematics & StatisticsBiomedical Data Integration Lab
Tianlong Chen · Chapel Hill, North Carolina
Research Focus
Dr. Tianlong Chen's research lab focuses on using advanced artificial intelligence and machine learning techniques to integrate different types of biomedical data, including genetics and medical imaging. This work aims to improve precision medicine by enhancing the analysis of complex diseases like cancer and Alzheimer's disease. The lab develops methods that not only combine these diverse data types but also ensure that findings are interpretable and actionable for improving patient care.
precision medicinemulti-modal dataAI/MLAlzheimer's diseasecancerdata integrationbiomedical researchbioinformaticsmachine learning
Research Aims
4AIM 01Illuminate complex biomedical multi-modal data integration.
AIM 02Develop methods to handle incomplete biomedical datasets.
AIM 03Create optimization-based solutions for missing data modalities.
AIM 04Evaluate the proposed multi-modal learning framework on Alzheimer's and cancer datasets.
Skills the Lab Values
machine learning algorithmsdata imputation techniquesmedical imaging analysisgenomic data analysisclinical data synthesisstatistical modelingnetwork architecture designperformance metrics evaluationPython programmingdata visualization
Output against the department
Publications278top 40% of dept.53rd of 131
this lab
most publishedleast published
Citations4.3kbottom 31% of dept.91st 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.