Honghuang Lin, PhD
Adjunct Associate Professor
Boston University Chobanian & Avedisian School of Medicine
Medicine
Computational Biomedicine

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



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.

Member
Boston University
BU-BMC Cancer Center


Investigator
Framingham Heart Study


Member
Boston University
Evans Center for Interdisciplinary Biomedical Research




Integrated Digital Technology Platform for Optimization of Precision Brain Health
07/01/2020 - 06/30/2024 (Multi-PI)
PI: Honghuang Lin, PhD
American Heart Association


Identification of digital biomarkers for Alzheimer's disease
03/01/2020 - 02/28/2023 (PI)
Alzheimer's Association


Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approaches
09/15/2021 - 12/31/2021 (Multi-PI)
PI: Honghuang Lin, PhD
NIH/National Institute on Aging
1U01AG068221-01A1



Title

Biostatistical analysis of TOPMed genetics data
06/01/2019 - 05/31/2020 (PI)
University of Connecticut Health Center

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Paul TJ, Sadaniantz K, Soni A, Asaker JC, Pathiravasan CH, Mehawej J, Filippaios A, Zhang Y, Wang Z, Liu C, Lin H, Murabito JM, McManus DD, Kovell LC. Patterns of adherence to home blood pressure monitoring among men and women in the Electronic Framingham Heart Study. PLoS One. 2025; 20(12):e0337284.View Related Profiles. PMID: 41406142; PMCID: PMC12711059; DOI: 10.1371/journal.pone.0337284;
     
  2. Stein T, Breen K, Aytan N, Hawkins S, Nicks R, Alvarez V, Mez J, Blusztajn J, Cherry J, McKee A, Lin H. Duration of contact sports play associated with aberrant DNA methylation in human frontal cortex. Res Sq. 2025 Dec 01. PMID: 41377989; PMCID: PMC12687817; DOI: 10.21203/rs.3.rs-7861173/v1;
     
  3. Wang B, Ding H, Qi D, Tisminetzky MS, Murabito JM, Lin H. Plasma-based brain age as a potential biomarker for cognitive health and risk of brain-related disorders. Commun Med (Lond). 2025 Nov 29.View Related Profiles. PMID: 41318807
     
  4. Pope MK, Chugh H, Truyen TTTT, Mathias M, Uy-Evanado A, Lin H, Atar D, Bosson N, Reinier K, Benjamin EJ, Chugh SS. Dynamic Risk Trajectories for Sudden Cardiac Arrest: The Role of Recurrent Cardiovascular Events. medRxiv. 2025 Nov 15. PMID: 41292644; PMCID: PMC12642720; DOI: 10.1101/2025.11.13.25340202;
     
  5. 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 Nov; 24(11):e70148.View Related Profiles. PMID: 41081549; PMCID: PMC12608095; DOI: 10.1111/acel.70148;
     
  6. 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 Nov; 24(11):e70241.View Related Profiles. PMID: 41081550; PMCID: PMC12611327; DOI: 10.1111/acel.70241;
     
  7. 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.View Related Profiles. PMID: 41078115; PMCID: PMC12577449; DOI: 10.1161/CIRCEP.125.014383;
     
  8. 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 Oct; 18(10):e013734.View Related Profiles. PMID: 41025252; PMCID: PMC12569998; DOI: 10.1161/CIRCEP.125.013734;
     
  9. 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 Nov; 49(11):2346-2357.View Related Profiles. PMID: 41006818; PMCID: PMC12583137; DOI: 10.1038/s41366-025-01898-z;
     
  10. Ding H, Brown S, Paquette DR, Orwig TA, Spartano NL, Lin H. Passive Measures of Physical Activity and Cadence as Early Indicators of Cognitive Impairment: Observational Study. J Med Internet Res. 2025 Sep 12; 27:e72946.View Related Profiles. PMID: 40939123; PMCID: PMC12431165; DOI: 10.2196/72946;
     
Showing 10 of 269 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 269 publications over 21 distinct years, with a maximum of 32 publications in 2025

YearPublications
20041
20052
20069
20078
20084
20092
20114
20125
20134
201417
20155
201615
201717
201821
201913
202019
202113
202223
202328
202427
202532
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Bioinformatics
Machine learning
Microarray data analysis
Next generation sequencing
Multi-omics data integration

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Contact for Mentoring:

72 East Concord St
Boston MA 02118
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