cv
Basics
| Name | Dr Tom Julian |
| Label | Academic Ophthalmologist |
| thomas.julian@manchester.ac.uk | |
| Url | https://research.manchester.ac.uk/en/persons/tom-julian/ |
| Summary | I am an academic ophthalmologist working at the intersection of deep learning, medical imaging, and multi-omic analyses. As a clinician with experience developing deep learning models and omics analysis pipelines, I am well positioned to lead and deliver clinically important research using advanced methods. |
Work
-
2021.08 - Present Research Fellow & Ophthalmology Resident Doctor
University of Manchester & Manchester Royal Eye Hospital
In my clinical role, I work in surgical, clinic and emergency settings at Manchester Royal Eye Hospital. In my academic role, I deliver clinically focussed research using (1) medical image analysis and (2) multi-omic analyses.
- Ophthalmology
- Deep Learning
- Genomics
- Metabolomics
- Causal Inference
Education
-
2024.08 - 2027.07 Manchester, U.K
-
2019.08 - 2021.08 Sheffield, U.K
-
2017.08 - 2018.08 Sheffield, U.K
-
2013.08 - 2021.08 Sheffield, U.K
Awards
- 2023.06
Best Oral Presentation
The UK Eye Genetics Group (UK-EGG)
I won the best oral presentation prize at the UK-EGG annual conference for my causal inference work in age-related macular degeneration and glaucoma.
- 2023.07
Best Oral Presentation
Manchester Vision Network (MVN)
I won the best oral presentation prize at the MVN annual conference for my causal inference work in age-related macular degeneration.
- 2022.06
Best Poster Presentation
The Integrated Clinical Academic Training Symposium
I won the best poster prize for my Mendelian randomisation work in age-related macular degeneration.
- 2018
Outstanding Contribution Award
University of sheffield Students Union
I won this prize at the University of Sheffield Union’s Annual Academic Awards in recognition of my contribution to the academic experience of medical students.
Skills
| Deep Learning | |
| Autoencoders | |
| Linear Neural Networks |
| Omics | |
| Genomics | |
| Metabolomics |
| Statistical Genetics | |
| Mendelian randomisation (univariable, multivariable, Bayesian) | |
| GWAS | |
| Genetic pathway analysis | |
| Burden testing | |
| Local and global genetic correlation testing |
Languages
| English | |
| Native speaker |
Interests
| Disease risk modelling | |||
| Deep learning | |||
| Causal inference | |||
| Omics based biological discovery | |||
| Metabolomics | |||
| Genomics | |||