William J. Richardson
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor - Engineering
Also affiliated: Boston College (1992–2024); University of North Carolina at Chapel Hill (2002); Midlands Technical College (2025); Mount Sinai Hospital (1988); United States Department of Veterans Affairs (2019); University of British Columbia (2022–2023); University of South Carolina (2015–2025); Fordham University (1965–1977); Duke University (1988–2023); Bechtel (United States) (2007); Barton College (1994); Durham University (2015); Wellesley Institute (1991); Durham Technical Community College (1998); Danbury Hospital (1992); Kelowna General Hospital (2023); Western Infirmary (1985); Newton Public Schools (1987); Toronto General Hospital (1991); Palmetto Health Richland (2025); Korean Association of Maxillofacial Plastic and Reconstructive Surgery (2006); Orthopaedic Center (1996); Novem (Netherlands) (2002); Health First (2002); Workers Educational Association (2002–2007); VA Rocky Mountain Network (2012–2019); Knowledge Foundation (2002); Institut für Psychologische Psychotherapie (1963–1974); Duke Medical Center (1985–2018); East-Siberian Institute of Economics and Management (2002); Centre Alpien de Phytogéographie (2008); The Medical Device (United Kingdom) (2002); Duke University Hospital (1992–2021); Orthopedic One (2006); University of British Columbia, Okanagan Campus (2023); University of Virginia (2015); Marymount University (1821); Royal College of Physicians and Surgeons of Glasgow (1985); Clemson University (2021); Texas A&M University (2011–2012); Stanford University (1992)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
William J. Richardson's research interests encompass cardiovascular disease mechanisms, particularly focusing on cardiac fibrosis. He has secured significant federal funding from the NIH/National Heart Lung and Blood Institute for projects investigating systems mechanobiology modeling for patient-specific cardiac fibrosis predictions and for modeling cardiac fibroblasts to predict and control fibrosis in patients with heart failure with reduced ejection fraction (HFrEF). Additionally, he received NSF funding for an I-Corps project focused on developing an in vitro cardiac platform for drug discovery and cardiotoxicity screens.
His scholarly output reflects a diverse range of research, including studies on invasive *Staphylococcus aureus* infections in patients undergoing spinal fusion surgeries and the effects of sex and estradiol on cardiac fibroblast morphology. Richardson also contributes to the fields of remote sensing for ecosystem monitoring and methane flux detection in agricultural settings, as well as theoretical work on hierarchical molecular language models.
With an h-index of 50, 236 total publications, and over 8,400 citations, Richardson is recognized as a highly cited researcher. His work involves collaborations with colleagues at the University of Arkansas at Fayetteville, including Michael Potter, Samuel J. Coeyman, and H. W. Hays.
Metrics
- h-index: 50
- Publications: 237
- Citations: 8,442
Selected Publications
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A Survey of LLMs in Drug Discovery and Precision Medicine (2026)
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Sensitivity Analysis to Isolate the Effects of Proteases and Protease Inhibitors on Extracellular Matrix Turnover (2026)
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Hierarchical Molecular Language Models (HMLMs). (2025)
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Machine learning model for detecting masked hypertension in young adults (2025)
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Heart Scar-In-A-Dish: Tissue Culture Platform to Study Myocardial Injury and Mechanics In Vitro (2025)
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Temporal Dynamics of Extracellular Matrix Remodeling in Anthracycline-Induced Cardiotoxicity (2025)
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A Physics-Guided Smoothing Method For Material Modeling With Digital Image Correlation (DIC) Measurements (2025)
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Persistent Fibrosis in Heart Failure With a Reduced Ejection Fraction Linked to Phenotypic Differences in Human Cardiac Fibroblast Populations (2025)
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Heart Scar-In-A-Dish: Tissue Culture Platform to Study Myocardial Infarct Healing In Vitro (2025)
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Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology (2025)
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Quantification of cardiac capillarization in basement-membrane-immunostained myocardial slices using Segment Anything Model (2024)
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Computational screen for sex-specific drug effects in a cardiac fibroblast signaling network model (2023)
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Management of autofluorescence in formaldehyde-fixed myocardium: choosing the right treatment (2023)
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Vascular smooth muscle cell mechanotransduction through serum and glucocorticoid inducible kinase-1 promotes interleukin-6 production and macrophage accumulation in murine hypertension (2023)
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Computational Screen for Sex-Specific Drug Effects in a Cardiac Fibroblast Network Model (2023)
Federal Grants 3 $908,891 total
Cardiac Fibroblast Modeling to Predict and Control Fibrosis in HFrEF Patients
Systems Mechanobiology Modeling for Patient-Specific Cardiac Fibrosis Predictions
I-Corps: In Vitro Cardiac Platform for Drug Discovery and Cardiotoxicity Screens
Collaboration Network
Top Collaborators
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Modification of a Wavelet-Based Method for Detecting Ebullitive Methane Fluxes in Eddy-Covariance Observations: Application at Two Rice Fields
- Modification of a Wavelet-Based Method for Detecting Ebullitive Methane Fluxes in Eddy-Covariance Observations: Application at Two Rice Fields
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
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