Ian Simpson
Professor of Biomedical Informatics & Director UKRI CDT in Biomedical Artificial Intelligence
- Institute for Adaptive & Neural Computation
- School of Informatics
Contact details
- Tel: +44 (0)131 6515637
- Email: ian.simpson@ed.ac.uk
- Web: Group Website
- Web: Group GitHub Site
Address
- Street
-
School of Informatics
The University of Edinburgh
10 Crichton Street - City
- Edinburgh
- Post code
- EH8 9AB
Background
Qualifications
Responsibilities & affiliations
Undergraduate teaching
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
- Aidan Marnane
- Antoine Lain
- Barry Ryan
- Tariro Chatiza
Current M.D. Students
- Jamie Campbell
- Michael Yates
Past PhD students supervised
Completed PhD Students
- Xin He (2017)
- Maciej Pajak (2018)
- Emilia Wysocka (2019)
- Samuel Heron (2019)
- Alba Crespi (2022)
- Magdalena Navarro (2022)
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)
- Fellow of the Alan Turing Institute (2021-)
- Member of the BBSRC Pool of Experts (2021-)
- STEM Ambassador
Affiliated research centres
Project activity
-
Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling network
(28 pages)
In:
PeerJ, vol. 10
DOI: https://doi.org/10.7717/peerj.14516
Research output: Contribution to Journal › Article (Published) -
KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish
(3 pages)
Research output: Contribution to Workshop › Conference contribution (Published) -
SFARI genes and where to find them; modelling Autism Spectrum Disorder specific gene expression dysregulation with RNA-seq data
(15 pages)
In:
Scientific Reports, vol. 12
DOI: https://doi.org/10.1038/s41598-022-14077-1
Research output: Contribution to Journal › Article (Published) -
Creation and evaluation of full-text literature-derived, feature-weighted disease models of genetically determined developmental disorders
(10 pages)
In:
Database: The Journal of Biological Databases and Curation, vol. 2022
DOI: https://doi.org/10.1093/database/baac038
Research output: Contribution to Journal › Article (Published) -
Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling network
(24 pages)
DOI: https://doi.org/10.1101/2022.03.26.485918
Research output: › Preprint (Published) -
Creation and evaluation of full-text literature-derived, feature-weighted disease models of genetically determined developmental disorders
(14 pages)
DOI: https://doi.org/10.1101/2021.11.04.21265878
Research output: › Preprint (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
(7 pages)
In:
BMC Veterinary Research, vol. 17
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)
Conference details
Invited speaker
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Papers delivered
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