Mr Guillermo Comesana Cimadevila
Teams and roles for Guillermo Comesana Cimadevila
PhD Student
Overview
I am a PhD student at the MRC Centre for Neuropsychiatric Genetics and Genomics and the UK Dementia Research Institute, funded by Hodge. I have a background in Computational and Quantitative Biology from the University of Surrey and the University of Bath; thus, my expertise lies at the interface of data science, bioinformatics and genomics.
My PhD research focuses on investigating shared genetic components between neurodegeneration and neuropsychiatric disorders. This includes:
- Developing bioinformatics pipelines across multiple omics layers
- Applying deep learning approaches to improve psychosis prediction
I maintain ongoing academic collaborations where I am currently applying multi-horizon forecasting and causal machine learning methods to model symptom trajectories and treatment-effect prediction in pernicious anaemia, as well as developing self-supervised approaches for temporal representation learning in spatiotemporal imaging and cell-event detection.
Publication
2024
Articles
Research
Thesis
Untangling neurodegenerative components of neuropsychiatric disorders through novel computational approaches
Supervisors
Contact Details
Research themes
Specialisms
- Machine learning
- Genetic Epidemiology
- Computer vision
- Statistical and quantitative genetics
- Data Science