Faculty

Institution

Unit

Venue

Cory B. Scott

Assistant Professor Mathematics and Computer Science

Colorado College

Affiliations

Computer Science

Department Of Math

Cory B. Scott is currently serving as a Computer Science Assistant Professor Mathematics and Computer Science at Colorado College.

Honors

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Experiences

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Education

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Cory B. Scott

Colorado College

Assistant Professor Mathematics and Computer Science

You can click a keyword to filter the displayed items

applied mathematics graph theory machine learning computer science cell biology data science deep learning neural network (machine learning) computational biology computational intelligence recurrent neural networks elliptic reciprocity mechanics of materials bioinformatics transcriptome machine learning research fracture mechanics scientific computing biomedical informatics molecular informatics nuclear fusion avian biology plant science nonlinear dynamics nonlinear science vertebrate paleontology protein science biomolecular structure convolutional neural networks single-cell analysis single cell sequencing transcriptomics technology translational bioinformatics plasma diagnostics biomedical modeling plant biology graph analysis motion synthesis physic aware machine learning computational anatomy topological graph theory protein modeling deep learning model brittle materials efficient computation graph diffusion distance graph convolutional networks field-reversed configuration plasma beam-driven mode generalized rijndael-like ciphers algebraic properties elliptic pairs graph lineages

Notable Scholarly Works

Notable Federal Grants

Collaborators

Graph Lineages and Skeletal Graph Products. ArXiv.org (2025)

graph theorybiologytopological graph theorygraph lineagesvertebrate paleontology

Implicitly and Differentiably Representing Protein Surfaces and Interfaces. (2025)

biophysicsprotein modelingbiomolecular structureprotein designprotein scienceprotein folding

Consensus Label Propagation With Graph Convolutional Networks for Single-Cell Rna Sequencing Cell Type Annotation. Bioinformatics (2023)

transcriptometranscriptomics technologybiomedical informaticstranslational bioinformaticssystems biologygraph theorysingle-cell analysisgraph convolutional networkssingle cell sequencingcell biologycomputational biologymolecular informaticsbioinformatics

Graph Metric Learning Quantifies Morphological Differences Between Two Genotypes of Shoot Apical Meristem Cells in Arabidopsis. in silico Plants (2023)

Cory Braker ScottEric MjolsnessDiane OyenChie KoderaMagalie UyttewaalDavid Bouchez

morphologyavian biologyplant biologygeneticsdevelopmental biologyplant sciencebotany

DIFF2DIST: Learning Spectrally Distinct Edge Functions, With Applications to Cell Morphology Analysis. arXiv (Cornell University) (2021)

Cory Braker ScottEric MjolsnessDiane OyenChie KoderaDavid BouchezMagalie Uyttewaal

learning sciencescomputational neurosciencecomputational anatomyapplied mathematicscomputational biologycomputer sciencecell biology

Graph Diffusion Distance: Properties and Efficient Computation. PLoS ONE (2021)

C. B. ScottEric Mjolsness

graph diffusion distancegraph theoryefficient computationapplied mathematics

Stressnet - Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. npj Materials Degradation (2021)

Yinan WangDiane OyenWeihong GuoAnishi MehtaCory Braker ScottNishant PandaM. Giselle Fernández-GodinoGowri SrinivasanXiaowei Yue

brittle materialsmachine learningfracture mechanicsmechanical engineeringrecurrent neural networksconvolutional neural networksdeep learning modeldeep learningmachine learning researchdata sciencemechanics of materialsneural network (machine learning)engineering

Detection and Prediction of a Beam-Driven Mode in Field-Reversed Configuration Plasma With Recurrent Neural Networks. Nuclear Fusion (2020)

Cory ScottSean DettrickToshiki TajimaRichard MageeEric Mjolsness

field-reversed configuration plasmatechnologybeam-driven modenuclear physicsnuclear fusionplasma diagnostics

Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs With Applications to Modeling of Cytoskeleton. Machine Learning Science and Technology (2020)

Cory B ScottEric Mjolsness

biomedical modelingcytoskeletongraph theorymachine learningcell biology

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2020)

neural network (machine learning)recurrent neural networksmotion synthesisdynamical systemsdeep learningnonlinear sciencedata scienceapplied mathematicscomputational intelligencemachine learningnonlinear dynamicsphysic aware machine learning

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Cory B. Scott

Assistant Professor Mathematics and Computer Science

Colorado College

Affiliations

Computer Science

Department Of Math

Cory B. Scott is currently serving as a Computer Science Assistant Professor Mathematics and Computer Science at Colorado College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Cory B. Scott

Colorado College

Assistant Professor Mathematics and Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Graph Lineages and Skeletal Graph Products. ArXiv.org (2025)

graph theorybiologytopological graph theorygraph lineagesvertebrate paleontology

Implicitly and Differentiably Representing Protein Surfaces and Interfaces. (2025)

biophysicsprotein modelingbiomolecular structureprotein designprotein scienceprotein folding

Consensus Label Propagation With Graph Convolutional Networks for Single-Cell Rna Sequencing Cell Type Annotation. Bioinformatics (2023)

Graph Metric Learning Quantifies Morphological Differences Between Two Genotypes of Shoot Apical Meristem Cells in Arabidopsis. in silico Plants (2023)

Cory Braker ScottEric MjolsnessDiane OyenChie KoderaMagalie UyttewaalDavid Bouchez

morphologyavian biologyplant biologygeneticsdevelopmental biologyplant sciencebotany

DIFF2DIST: Learning Spectrally Distinct Edge Functions, With Applications to Cell Morphology Analysis. arXiv (Cornell University) (2021)

Cory Braker ScottEric MjolsnessDiane OyenChie KoderaDavid BouchezMagalie Uyttewaal

learning sciencescomputational neurosciencecomputational anatomyapplied mathematicscomputational biologycomputer sciencecell biology

Graph Diffusion Distance: Properties and Efficient Computation. PLoS ONE (2021)

C. B. ScottEric Mjolsness

graph diffusion distancegraph theoryefficient computationapplied mathematics

Stressnet - Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. npj Materials Degradation (2021)

Yinan WangDiane OyenWeihong GuoAnishi MehtaCory Braker ScottNishant PandaM. Giselle Fernández-GodinoGowri SrinivasanXiaowei Yue

Detection and Prediction of a Beam-Driven Mode in Field-Reversed Configuration Plasma With Recurrent Neural Networks. Nuclear Fusion (2020)

Cory ScottSean DettrickToshiki TajimaRichard MageeEric Mjolsness

field-reversed configuration plasmatechnologybeam-driven modenuclear physicsnuclear fusionplasma diagnostics

Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs With Applications to Modeling of Cytoskeleton. Machine Learning Science and Technology (2020)

Cory B ScottEric Mjolsness

biomedical modelingcytoskeletongraph theorymachine learningcell biology

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2020)

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