Honghuang Lin, PhD

Adjunct Associate Professor, Boston University Chobanian & Avedisian School of Medicine

Biography

I am a bioinformatician/biostatistician with training in mathematics, machine learning, genetics, and digital medicine. Our lab is mainly focused on the development and application of computational tools to study complex diseases.

1. Identification of genetic causes of complex diseases. We have been involved in multiple large-scale genetic consortiums, such as the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Trans-Omics for Precision Medicine (TOPMed) program, and Alzheimer's Disease Sequencing Project (ADSP). These studies have identified hundreds of genetic loci associated with atrial fibrillation, heart failure, hypertension, and Alzheimer’s disease.

2. Integration of multi-omics data to understand disease molecular mechanisms. Complex diseases are usually caused by the interplay of genetic and environmental factors. We have identified numerous molecular signatures from gene expression, protein expression, and DNA methylation that are related to aging and cardiovascular disease. We are also developing computational methods to integrate different molecular signatures and build gene interaction networks to study potential disease regulation networks.

3. Development of machine learning models for early disease diagnosis. We have built multiple machine learning models to predict dementia risk from midlife risk factors and neuropsychological tests. In combination with neuroimaging and blood-based measures, we are also developing multimodal machine learning methods to identify new biomarkers that are predictive of future cognitive impairment.

4. Exploration of digital and wearable devices for health monitoring. We have deployed thousands of wearable devices and mobile apps to monitor cardiovascular health and cognitive health. We are integrating active engagement with passive engagement technologies from the habitual environment to make sustained monitoring feasible. Novel analytic strategies are also being developed to analyze big unstructured data to identify potential digital biomarkers that are predictive of future health outcomes.

Publications

  • Published 10/13/2025

    Bellio TA, Krunic A, Campion MS, Dupaguntla R, Labadorf A, Stein TD, Lin H, Mellott TJ, Blusztajn JK. Perinatal Choline Supplementation Promotes Resilience Against Progression of Alzheimer's Disease-Like Brain Transcriptomic Signatures in AppNL-G-F Mice. Aging Cell. 2025 Oct 13; e70148. PMID: 41081549.

    Read at: PubMed

  • Published 10/13/2025

    Krunic A, Bellio TA, Cohen BZ, Labadorf A, Stein TD, Lin H, Mellott TJ, Blusztajn JK. Brain DNA Methylation Atlas of AppNL-G-F Alzheimer's Disease Model Mice Across Age and Region Reveals Choline-Induced Resilience. Aging Cell. 2025 Oct 13; e70241. PMID: 41081550.

    Read at: PubMed

  • Published 10/13/2025

    Korzinski TJ, Hategeka C, Prescott BR, Hamel-Sellman D, Xanthakis V, Cooper LL, Hamburg NM, Tsao CW, Lin H, Vasan RS, Mitchell GF, Benjamin EJ. Relations of AI-Vascular Age Estimated From a Peripheral Pressure Waveform With Incident Atrial Fibrillation: The Framingham Heart Study. Circ Arrhythm Electrophysiol. 2025 Oct 13; e014383. PMID: 41078115.

    Read at: PubMed

  • Published 9/30/2025

    Brant LCC, Ribeiro AH, Eromosele OB, Pinto-Filho MM, Barreto SM, Duncan BB, Larson MG, Benjamin EJ, Ribeiro ALP, Lin H. Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study. Circ Arrhythm Electrophysiol. 2025 Sep 30; e013734. PMID: 41025252.

    Read at: PubMed

  • Published 9/26/2025

    Xu H, Gupta S, Dinsmore I, Kollu A, Cawley AM, Anwar MY, Chen HH, Petty LE, Seshadri S, Graff M, Below JE, Brody JA, Chittoor G, Fisher-Hoch SP, Heard-Costa NL, Levy D, Lin H, Loos RJF, Mccormick JB, Rotter JI, Mirshahi T, Still CD, Destefano A, Cupples LA, Mohlke KL, North KE, Justice AE, Liu CT. Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci. Int J Obes (Lond). 2025 Sep 26. PMID: 41006818.

    Read at: PubMed

View All 265 Publications:   View Full Profile in BUMC

Other Positions

  • Member, BU-BMC Cancer Center
    Boston University
  • Investigator
    Framingham Heart Study
  • Member, Evans Center for Interdisciplinary Biomedical Research
    Boston University

Websites

Education

  • National University of Singapore (NUS), PhD
  • Peking University, BA
  • Peking University, BS

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