Our Research Focus: Bioinformatics analysis of multi-omics data; Digital phenotyping; Machine learning modeling 

• Integration of multi-omics data and gene regulation network to understand disease molecular mechanisms
• Development of machine learning models from digital and wearable technologies for early disease diagnosis and health monitoring

Representative Publications

• Lin H, Sardana M, Zhang Y, Liu C, Trinquart L, Benjamin EJ, Manders ES, Fusco K, Kornej J, Hammond MM, Spartano NL, Pathiravasan CH, Kheterpal V, Nowak C, Borrelli B, Murabito JM, McManus DD. Association of Habitual Physical Activity With Cardiovascular Disease Risk. Circ Res. 2020 10 23; 127(10):1253-1260.
  
  
• Wang B, Lunetta KL, Dupuis J, Lubitz SA, Trinquart L, Yao L, Ellinor PT, Benjamin EJ, Lin H. Integrative Omics Approach to Identifying Genes Associated With Atrial Fibrillation. Circ Res. 2020 01 31; 126(3):350-360. 
  
  
• Yuan J, Libon DJ, Karjadi C, Ang AFA, Devine S, Auerbach SH, Au R, Lin H. Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study). J Med Internet Res. 2021 06 08; 23(6):e27407. 
  
  
• Kornej J, Hanger VA, Trinquart L, Ko D, Preis SR, Benjamin EJ, Lin H. New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation. Cardiovasc Res. 2021 06 16; 117(7):1632-1644. 
  
  

More Publications 

Join our Lab

The Lin Lab is currently recruiting a Post-Doctoral Fellow. If you are interested in joining our lab, please send a cover letter, CV, and contact information for three references to Dr. Honghuang Lin.