Faculty

Institution

Unit

Venue

Newell R. Washburn

Associate Professor Chemistry and Biomedical Engineering Associate Professor of Chemistry and Biomedical Engineering

Carnegie Mellon University

Affiliations

College of Engineering

Biomedical Engineering

Materials Science and Engineering

Mellon College of Science

Chemistry

Newell R. Washburn is currently serving as a Biomedical Engineering Associate Professor Chemistry and Biomedical Engineering Associate Professor of Chemistry and Biomedical Engineering at Carnegie Mellon University.

Honors

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Experiences

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Education

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Newell R. Washburn

Carnegie Mellon University

Associate Professor Chemistry and Biomedical Engineering Associate Professor of Chemistry and Biomedical Engineering

You can click a keyword to filter the displayed items

materials science polymer science biomedical engineering tissue engineering biomolecular engineering materials engineering advanced materials polymer engineering biomaterials polymer technology machine learning chemical engineering polymer chemistry surface science composite science biopolymers biomaterials design material research additive manufacturing interface science concrete technology material chemistry lignin bone research adsorption colloid chemistry colloidal systems biocompatible materials dispersion science thermal engineering polymer synthesis interface chemistry polymer nanotechnology colloidal materials antibody engineering wound care surface nanotechnology cell adhesion polymer blends macromolecular science cytokines high-throughput investigation hyaluronic acid orthopaedic research dental materials membrane science cheminformatics pharmaceutics pharmacotherapy sustainable chemistry adaptive immune system polymer properties synthetic bone substitute surface modification colloidal property fragmentation effect pharmaceutical sciences bioactive materials cement manufacture magnetic materials thermal modeling osteoblast response situ formation hierarchical machine learning hyaluronic acid conjugation polymer-grafted lignin superplasticizers bone density nanometer-scale roughness peg dimethacrylates combinatorial screen fibronectin-mediated osteoblast adhesion lignin polyurethane properties lewis acid treatment reversible adhesion wet conditions peptide-polymer hybrids sustainability science computational materials science material selection data science

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Autonomous Determination of Hansen Solubility Parameters via Active Learning. (2025)

mathematical optimizationhansen solubility parametersparameter identificationinverse problemsdata scienceapplied mathematics

Bayesian Machine Learning for Inverse Design of Ultra-High-Performance Concrete. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025)

computational engineeringmodel optimizationdesign optimizationengineeringstructural concretemachine learning researchconcrete technologyultra-high-performance concreteinverse designconstruction materialsbayesian analysismachine learning

Rheology of Limestone Calcined Clay Cements (Lc3): Predictive Modeling of Yield Stress and Plastic Viscosity With Machine Learning. Rilem bookseries (2025)

geotechnical engineeringclay scienceyield stressgeomechanicsrheologymechanical engineeringcivil engineeringplastic viscositycement-based construction materialcementationconstruction materialsmachine learning

Abstract 1003: Blood Pressure Metrics in Predicting Successful Thoracic Endovascular Aortic Repair. Arteriosclerosis Thrombosis and Vascular Biology (2024)

Nicole L BohrAmira AlakhdarJoseph PugarNewell WashburnLuka Pocivavsek

cardiovascular researchvascular biologyvascular diseasethrombosisatherosclerosisblood pressure metricsblood pressureendovascular management

Amira A. AlakhdarSruthi SivakumarRylee M. KopchakAllison N. HunterFabrisia AmbrosioNewell R. Washburn

aging cellcellular differentiationstem cell researchmuscle functioncellular senescencestem cellscell biologytissue developmentcell biomechanicsdevelopmental biologymechanobiologyphysical agingsystems biologyextracellular matrixapplied physiologymusculoskeletal disordersbone researchregeneration (biology)

Diffusion Models in $\Textit{De Novo}$ Drug Design. arXiv (Cornell University) (2024)

Alakhdar, AmiraPoczos, BarnabasWashburn, Newell

drug designdiffusion modelspharmacologymachine learning

Diffusion Models in De Novo Drug Design. Journal of Chemical Information and Modeling (2024)

Amira AlakhdarBarnabas PoczosNewell Washburn

drug developmentmathematical chemistrypharmacologydiffusionchemical biologydrug discoverytheoretical biologypharmaceutical sciencesmedicinal researchcomputational chemistrysystems biologydiffusion-based modelingcheminformaticsquantum chemistrymolecular modellingrational drug designdiffusion modelspharmacological researchbiomolecular engineering

Editorial - Intelligently Designing Cement and Concrete Through Data Analytics. Cement and Concrete Research (2024)

Newell R. WashburnKimberly E. Kurtis

construction engineeringengineeringcivil engineeringbuilding information modellingconcrete technologydesign

The Geometric Evolution of Aortic Dissections: Predicting Surgical Success Using Fluctuations in Integrated Gaussian Curvature. PLoS Computational Biology (2024)

Kameel KhabazKaren YuanJoseph PugarDavid JiangSeth SankarySanjeev DharaJunsung KimJanet KangNhung NguyenKathleen CaoNewell WashburnNicole BohrCheong Jun LeeGordon KindlmannRoss MilnerLuka Pocivavsek

surgical successcomputational biologysurgeryintegrated gaussian curvaturemathematical biologygeometric evolutionaortic dissections

A Quantitative Approach to Determining Sulfate Balance for Lc3. Cement (2023)

Oğulcan CanbekConnor SzetoNewell R. WashburnKimberly E. Kurtis

engineeringgeochemistrymaterials sciencesulfate balance

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Newell R. Washburn

Associate Professor Chemistry and Biomedical Engineering Associate Professor of Chemistry and Biomedical Engineering

Carnegie Mellon University

Affiliations

College of Engineering

Biomedical Engineering

Materials Science and Engineering

Mellon College of Science

Chemistry

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Newell R. Washburn

Carnegie Mellon University

Associate Professor Chemistry and Biomedical Engineering Associate Professor of Chemistry and Biomedical Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Autonomous Determination of Hansen Solubility Parameters via Active Learning. (2025)

mathematical optimizationhansen solubility parametersparameter identificationinverse problemsdata scienceapplied mathematics

Bayesian Machine Learning for Inverse Design of Ultra-High-Performance Concrete. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025)

Rheology of Limestone Calcined Clay Cements (Lc3): Predictive Modeling of Yield Stress and Plastic Viscosity With Machine Learning. Rilem bookseries (2025)

Abstract 1003: Blood Pressure Metrics in Predicting Successful Thoracic Endovascular Aortic Repair. Arteriosclerosis Thrombosis and Vascular Biology (2024)

Nicole L BohrAmira AlakhdarJoseph PugarNewell WashburnLuka Pocivavsek

cardiovascular researchvascular biologyvascular diseasethrombosisatherosclerosisblood pressure metricsblood pressureendovascular management

Amira A. AlakhdarSruthi SivakumarRylee M. KopchakAllison N. HunterFabrisia AmbrosioNewell R. Washburn

Diffusion Models in $\Textit{De Novo}$ Drug Design. arXiv (Cornell University) (2024)

Alakhdar, AmiraPoczos, BarnabasWashburn, Newell

drug designdiffusion modelspharmacologymachine learning

Diffusion Models in De Novo Drug Design. Journal of Chemical Information and Modeling (2024)

Amira AlakhdarBarnabas PoczosNewell Washburn

Editorial - Intelligently Designing Cement and Concrete Through Data Analytics. Cement and Concrete Research (2024)

Newell R. WashburnKimberly E. Kurtis

construction engineeringengineeringcivil engineeringbuilding information modellingconcrete technologydesign

The Geometric Evolution of Aortic Dissections: Predicting Surgical Success Using Fluctuations in Integrated Gaussian Curvature. PLoS Computational Biology (2024)

Kameel KhabazKaren YuanJoseph PugarDavid JiangSeth SankarySanjeev DharaJunsung KimJanet KangNhung NguyenKathleen CaoNewell WashburnNicole BohrCheong Jun LeeGordon KindlmannRoss MilnerLuka Pocivavsek

surgical successcomputational biologysurgeryintegrated gaussian curvaturemathematical biologygeometric evolutionaortic dissections

A Quantitative Approach to Determining Sulfate Balance for Lc3. Cement (2023)

Oğulcan CanbekConnor SzetoNewell R. WashburnKimberly E. Kurtis

engineeringgeochemistrymaterials sciencesulfate balance

1
2
3
4
5
14
10 / page

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materials science

nanotechnology

David W. Grainger

Institution

University of Utah

protein biomarkers

biomedical technologies

Russell J. Composto

Institution

University of Pennsylvania

materials science

polymer science

Stefan Zauscher

Institution

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materials science

polymer science

Curtis Frank

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materials science

polymer science

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University of California, Berkeley

biopolymer

biomedical engineering

Srinivasa Raghavan

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biopolymer

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University of Pennsylvania

dispersion science

colloidal material

Mark Grinstaff

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self-assembly chemistry

synthetic biology

Gerald Fuller

Institution

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materials science

applied physics