Nick Cheney

Nick Cheney

Nick Cheney is a researcher affiliated with the University of Vermont. His work spans genetic and evolutionary computation, soft robotics, and applications of machine learning to clinical and biomedical data.

Research

According to Semantic Scholar, Cheney has published 43 papers that have collectively received 2,218 citations, with an h-index of 18. His research includes work on the co-optimization of morphology and control in soft robots, evolutionary computation methods such as genetic algorithms for influence maximization and many-objective optimization, and evolutionary dynamics of gene networks. He has also contributed to biomedical research applications, including digital phenotyping of instability and fatigue in persons with multiple sclerosis, wearable-based assessment of postural sway, preeclampsia risk modeling, and machine learning approaches to predicting postoperative reintubation.

Selected publications

• "Hot off the Press: The Genomic Code: The Genome Instantiates a Generative Model of the Organism" (2026), Proceedings of the Genetic and Evolutionary Computation Conference Companion
• "Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis" (2023), IEEE Transactions on Neural Systems and Rehabilitation Engineering
• "Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis" (2023), IEEE Transactions on Neural Systems and Rehabilitation Engineering
• "Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots" (2023), Annual Conference on Genetic and Evolutionary Computation
• "OmnImage: Evolving 1k Image Cliques for Few-Shot Learning" (2023), Annual Conference on Genetic and Evolutionary Computation
• "Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization" (2023), GECCO Companion
• "Many-objective Optimization via Voting for Elites" (2023), GECCO Companion
• "Coping with seasons: evolutionary dynamics of gene networks in a changing environment" (2023), GECCO Companion
• "Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy" (2023), Annual International Conference of the IEEE Engineering in Medicine and Biology Society
• "A machine learning approach to predicting early and late postoperative reintubation" (2022), Journal of Clinical Monitoring and Computing

External links

• Semantic Scholar author profile