Francesco Cavarretta
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Assistant Professor
Also affiliated: Emory University (2020–2023); University of Milan (2014–2018); Cornell University (2018–2019); Yale University (2014–2018); National Research Council (2014–2015); University of Palermo (2014)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Francesco Cavarretta studies the nervous system, with a particular focus on the thalamus and its role in motor control and sensory processing. His research investigates changes in neuronal excitability and synaptic integration in models of Parkinson's disease, utilizing computational modeling to understand how oscillatory inputs influence neuronal activity. Cavarretta also explores the intrinsic properties of neurons in the motor thalamus and connected cortical areas. His work has involved collaborations with researchers from the University of Arkansas for Medical Sciences and the University of Arkansas at Little Rock. He has published 25 papers, accumulating 252 citations, and holds an h-index of 7.
Metrics
- h-index: 7
- Publications: 28
- Citations: 259
Positions
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Assistant Professor 2025–presentUniversity of Arkansas at Little Rock Computer Science ORCID
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Postdoctoral Fellow publications 2025–2026University of Arkansas at Little Rock ORCID
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Postdoctoral Fellow 2020–2024Emory University Biology ORCID
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Postdoctoral Associate 2017–2020Cornell University Neuroscience & Behavior ORCID
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Post-graduate researcher 2015–2016Yale University School of Medicine ORCID
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Consiglio Nazionale delle Ricerche 2013Biofisica ORCID
Selected Publications
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ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression (2026)
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ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression (2025)
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A mathematical model for data-driven synthesis of neuron morphologies based on random walks (2025)
Collaboration Network
Top Collaborators
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
- ColiFormer: A Transformer-Based Codon Optimization Model Balancing Multiple Objectives for Enhanced E. coli Gene Expression
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