CV

General Information

Full Name Lucas Farndale
Date of Birth 21st September 1997
Languages English (Native), German (Basic)

Education

  • 2022-present
    PhD
    CRUK Beatson Institute/University of Glasgow/University of Edinburgh
  • 2016-2022
    MSci Mathematics
    University of Glasgow
    • 5th Year Dissertation: "Learning Behavioural Rules of Complex Systems with Graph Neural Networks" supervised by Dr. Colin Torney
    • Grade: A2 (21/22 - joint highest grade in cohort)
    • 4th Year Dissertation: "A Novel Hybrid Model of Microswimmer Movement" supervised by Prof. Nigel Mottram
    • Grade: A3 (20/22)

Experience

  • 2020-present
    Graduate Teaching Assistant
    University of Glasgow
    • Tutorials
      • MED5538 Evidence-Based Biomedical Research Methods and Statistics (Honours/Masters)
      • Mathematics 4H/5E Numerical Methods (Honours/Masters)
      • Mathematics 2A Multivariable Calculus
      • Mathematics 2B Linear Algebra
      • Mathematics 2C Introduction to Real Analysis
      • Mathematics 2D Mathematical Methods and Modelling
      • Mathematics 1
      • Mathematics 1 Core Skills Tests
      • Mathematics 1C Introduction to Calculus
      • Science Fundamentals 1X/1Y
      • Widening Participation Summer School (Maths)
  • 2021
    Maths Inside Resource Creator
    University of Glasgow
    • Contributed to the design and publication of the Maths Inside Resource Suite (https://mathsinside.com/discover/resources/2021resources/) for the Maths Inside photo competition as part of Maths Week Scotland
  • 2020
    Carnegie Trust Research Scholar
    University of Glasgow

Funding

  • 2022-2026
    Precision Medicine DTP Scholarship
    • MRC funded
  • 2020
    Carnegie Trust Research Bursary
    • Awarded 8 weeks of funding for research project "Optimal Strategies of Influencing Collective Decision Making in Structured Networks"

Conferences

  • EMBL AI and Biology Conference (Heidelberg)
  • 2024
    • Presented talk and poster "TriDeNT{:} Triple Deep Network Training for Privileged Knowledge Distillation in Histopathology"
  • Cancer Research UK Data Driven Research Conference (Manchester)
  • 2024
    • Presented talk and poster "Super Vision without Supervision{:} Leveraging Self-Supervised Multimodal Integration for Enhanced Medical Imaging"
  • MICCAI 23 (Vancouver)
  • 2023
    • Poster presentation at 14th International Machine Learning in Medical Imaging (MLMI) Workshop.
  • Glasgow Computational Biology Conference
  • 2023
    • Presented talk "Super Vision without Supervision{:} Leveraging Self-Supervised Multimodal Integration for Enhanced Medical Imaging"
    • Award for best talk at conference
  • 6th SofTMech Soft Tissue Workshop
  • 2023
  • Digibase Transforming Digital Pathology & AI":" The Path Forward
  • 2023
  • Glasgow Computational Biology Conference
  • 2022

Academic Interests

  • Computational
    • Self-Supervised Representation Learning
    • Privileged information
    • Computational pathology
    • Graph neural networks
    • Mathematical Modelling
  • Wet Lab
    • Biomedical imaging
    • Multiplex immunohistochemistry
    • Cell migration
    • Optimising wet lab techniques for deep learning applicability