Ian Simpson
Director CDT in Biomedical Artificial Intelligence & Reader in Biological Informatics
- Institute for Adaptive & Neural Computation
- School of Informatics
Contact details
- Tel: +44 (0)131 6515637
- Email: ian.simpson@ed.ac.uk
- Web: Biomedical Informatics Group
Address
- Street
-
School of Informatics
The University of Edinburgh
10 Crichton Street - City
- Edinburgh
- Post code
- EH8 9AB
Postgraduate teaching
Bioinformatics 1 - (INFR11160)
Bioinformatics 2 - (INFR11005)
Open to PhD supervision enquiries?
Yes
Areas of interest for supervision
UG4, MInf, MSc & PhD students
Current PhD students supervised
Current PhD Students
- Alba Crespi
- Magdalena Navarro
- Aidan Marnane
- Antoine Lain
Past PhD students supervised
Completed PhD Students
- Xin He (2017)
- Maciej Pajak (2018)
- Emilia Wysocka (2019)
- Samuel Heron (2019)
Research summary
Developing novel computational, statistical and machine learning methodologies to understand biological systems. In particular the development and function of the brain in relation to neurological diseases.
Current research interests
- Analysis of High-Throughput Data from the Brain - Graph-Based Approaches for the Analysis of Biological Data - Molecular Phylogenetics - Molecular Modelling of Brain DiseaseKnowledge exchange
- Member of the RSE Young Academy of Scotland (https://www.youngacademyofscotland.org.uk)
- STEM Ambassador
Affiliated research centres
-
Creation and evaluation of full-text literature-derived, feature-weighted disease models of genetically determined developmental disorders
DOI: https://doi.org/10.1101/2021.11.04.21265878
Research output: › Other contribution (Published) -
Presence of DNA from Chlamydia-like organisms in the nasal cavities of grey seal pups (Halichoerus grypus) and three different substrates present in a breeding colony
In:
BMC Veterinary Research, vol. 17, pp. 328
DOI: https://doi.org/10.1186/s12917-021-03032-3
Research output: Contribution to Journal › Article (Published) -
A unified resource and configurable model of the synapse proteome and its role in disease
In:
Scientific Reports, vol. 11
DOI: https://doi.org/10.1038/s41598-021-88945-7
Research output: Contribution to Journal › Article (E-pub ahead of print) -
SFARI Genes and where to find them; classification modelling to identify genes associated with Autism Spectrum Disorder from RNA-seq data
DOI: https://doi.org/10.1101/2021.01.29.428754
Research output: › Other contribution (Published) -
A configurable model of the synaptic proteome reveals the molecular mechanisms of disease co-morbidity
DOI: https://doi.org/10.1101/2020.10.27.356899
Research output: › Working paper (Published) -
MicroRNA-34a Acutely Regulates Synaptic Efficacy in the Adult Dentate Gyrus In Vivo
(14 pages)
In:
Molecular Neurobiology, vol. 57, pp. 1432–1445
DOI: https://doi.org/10.1007/s12035-019-01816-1
Research output: Contribution to Journal › Article (Published) -
Mixed-species RNA-seq for elucidating non-cell-autonomous control of gene transcription
(26 pages)
In:
Nature Protocols
DOI: https://doi.org/10.1038/s41596-018-0029-2
Research output: Contribution to Journal › Article (Published) -
Circadian protein regulation in the green lineage I. A phospho-dawn anticipates light onset before proteins peak in daytime
(35 pages)
DOI: https://doi.org/10.1101/287862
Research output: › Working paper (Published) -
Erratum: Author Correction: Neurons and neuronal activity control gene expression in astrocytes to regulate their development and metabolism (Nature communications (2017) 8 (15132))
(1 page)
In:
Nature Communications, vol. 9
DOI: https://doi.org/10.1038/ncomms16176
Research output: Contribution to Journal › Comment/debate (Published) -
Analysis of proteins in computational models of synaptic plasticity
(53 pages)
DOI: https://doi.org/10.1101/254094
Research output: › Working paper (Published)