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Natalio Krasnogor

Professor · School of Computing

Newcastle University · United Kingdom
Machine IntelligenceOptimisationData MiningBig DataEvolutionary LearningComplex SystemsUnconventional ComputingSynthetic Biology

About

I am a Professor of Computing Science and Synthetic Biology at the School of Computing Science and a Royal Academy of Engineering Chair in Emerging Technologies. I am Director of Newcastle's Interdisciplinary Computing and Complex BioSystems (ICOS) Research Group and of the Centre for Synthetic Biology and the Bioeconomy. My research activities lie at the interface of Computing Science and the Natural Sciences, e.g. Biology, Chemistry and Physics. I apply my expertise on Machine Intelligence, Complex Systems and Unconventional Computing to Bioinformatics, Systems and Synthetic Biology.

Selected publications

  • A last-in first-out stack data structure implemented in DNA
  • Expression, Localization, and Protein Interactions of the Partitioning Proteins in the Gonococcal Type IV Secretion System
  • For the sake of the Bioeconomy: define what a Synthetic Biology Chassis is!
  • Targetron-Assisted Delivery of Exogenous DNA Sequences into Pseudomonas putida through CRISPR-Aided Counterselection
  • Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation
  • Transcriptomic Responses to Coaggregation between Streptococcus gordonii and Streptococcus oralis
  • A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization
  • AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation
  • Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification
  • Co-transcriptional folding of a bio-orthogonal fluorescent scaffolded RNA origami

Data verified 9/6/2026Source

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