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 - 06/30/2026 (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.

iCite Analysis       Copy PMIDs To Clipboard

  1. Ye Z, Zai A, Wang B, Bennett A, Guilarte-Walker YG, Wong K, Zai AH, Erban S, Lin H. Leveraging routine clinical data for dementia risk prediction using machine learning. J Alzheimers Dis. 2026 Apr 23; 13872877261443945. PMID: 42024083; DOI: 10.1177/13872877261443945;
     
  2. Frank B, Gurnani A, Hurley L, Guan C, Andersen SL, Devine SA, O'Connor MK, Budson A, Liu C, Lin H, Auerbach S, Liu Y, Libon DJ, Price CC, Farrer L, Mez J, Ang A, Au R. Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study. J Int Neuropsychol Soc. 2026 Apr 14; 1-12.View Related Profiles. PMID: 41975557; PMCID: PMC13082455; DOI: 10.1017/S1355617726101921;
     
  3. Ofosuhene B, Ding H, Tatere HY, Vigeant TW, Li S, Bennett A, Lin H. Association between electrocardiographic age and cognitive function: findings from the UK biobank and Framingham Heart Study. Eur Heart J Digit Health. 2026 Apr; 7(3):ztag034.View Related Profiles. PMID: 41799659; PMCID: PMC12966501; DOI: 10.1093/ehjdh/ztag034;
     
  4. Ding H, Orwig TA, Rong J, Tatere HY, Liu C, Schramm E, Pathiravasan CH, Murabito JM, Lin H. Associations Between Smartphone-Based Finger Tapping and Cognitive Performance in Older Adults: Observational Study. J Med Internet Res. 2026 Feb 18; 28:e82463.View Related Profiles. PMID: 41707186; PMCID: PMC12916091; DOI: 10.2196/82463;
     
  5. Gifford KA, Rong J, Schramm E, Zhang Y, Pathiravasan CH, Benjamin EJ, Lin H, Liu C, Au R, Libon DJ, Murabito JM. Digital Stroop Test as a neurocognitive marker in a community-based sample of older adults: Data from the Framingham Heart Study. J Alzheimers Dis. 2026 Mar; 110(1):463-470.View Related Profiles. PMID: 41668525; DOI: 10.1177/13872877251415030;
     
  6. Lee S, English AC, Peloso GM, Bis JC, Boerwinkle E, Choi SH, Heard-Costa NL, Lin H, Xia R, Seshadri S, Destefano AL, Fornage M, Sedlazeck FJ. The Impact of Structural Variation on Alzheimer's Disease in the Alzheimer's Disease Sequencing Project. Res Sq. 2026 Jan 13.View Related Profiles. PMID: 41646303; PMCID: PMC12869681; DOI: 10.21203/rs.3.rs-8562759/v1;
     
  7. Li R, Berlowitz D, Mez J, Silver B, Wang X, Hu W, Goodwin R, Keating H, Liu W, Lin H, Yu H. Early prediction of Alzheimer's disease using longitudinal electronic health records of US military veterans. Commun Med (Lond). 2026 Jan 12; 6(1):23.View Related Profiles. PMID: 41526725; PMCID: PMC12796311; DOI: 10.1038/s43856-025-01206-w;
     
  8. 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;
     
  9. 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.View Related Profiles. PMID: 41377989; PMCID: PMC12687817; DOI: 10.21203/rs.3.rs-7861173/v1;
     
  10. 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; 6(1):12.View Related Profiles. PMID: 41318807; PMCID: PMC12779996; DOI: 10.1038/s43856-025-01268-w;
     
Showing 10 of 276 results. Show More

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

Bar chart showing 276 publications over 22 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
20267
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

Available to Mentor as: (Review Mentor Role Definitions):
  • Co-Mentor or Peer Mentor
  • Project Mentor
  • Research / Scholarly Mentor
Contact for Mentoring:

72 East Concord St
Boston MA 02118
Google Map


Lin's Networks
Click the "See All" links for more information and interactive visualizations
Concepts
_
Media Mentions
_
Co-Authors
_
Similar People
_
Same Department