cv

Basics

Name Dr Tom Julian
Label Academic Ophthalmologist
Email 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

    PhD
    University of Manchester
    Artificial Intelligence in Ophthalmology
  • 2019.08 - 2021.08

    Sheffield, U.K

    PGCert
    University of Sheffield
    Clinical Research
  • 2017.08 - 2018.08

    Sheffield, U.K

    MSc
    University of Sheffield
    Clinical Neurology
  • 2013.08 - 2021.08

    Sheffield, U.K

    MBChB
    University of Sheffield
    Medicine and Surgery

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