Samuel Tonks

Samuel Tonks

PhD Student in Computer Science

University of Birmingham


I’m a final year PhD student in Computer Science at the University of Birmingham, supervised by Dr. Alexander Krull, Prof. Iain Styles, and Prof. Ales Leonardis. My PhD is in collaboration with GSK with the industrial supervision of Dr. Minh Doan and Dr. Steve Hood.

My research interests lie in generative modeling, uncertainty quantification and performance evaluation for multimodal image-to-image translation problems in bioimaging applications.

Recently, I’ve worked on designing a pipeline for evaluating virtual staining for high-throughput screening (IEEE ISBI 2023 paper and oral). I received an Enrichment Award from The Alan Turing Institute the UK’s national institute for AI. I continue to be a core developer of an open-source computer vision package contributing code and pitching at AIUK 2023 PitchFest. I ran an in-person workshop at The Alan Turing Institute on Uncertainty Quantification for Generative Modelling in September 2023. Currently working towards paper submissions for CVPR Microscopy Imaging Workshop and ICML conference.

Before starting my PhD, I worked as a Data Scientist in what was previously GSK Consumer Healthcare but is now Haleon. During that time I was focused on designing ML-based pipelines for forecasting category growth whilst also studying for the MSc in Business Analytics at Imperial College London. I joined GSK back in 2017 on the Future Leaders Programme.

I enjoy running, cooking, exploring London with friends and playing my Technic 1210 mk2 turntables with Omnitronic TRM-202MK3 2-Channel Rotary DJ Mixer!

Do reach out to me if my research is of interest to you - I’m always happy to chat about potential collaborations!


  • Machine Learning
  • Generative Modelling
  • Multi-modal image-to-image translation
  • Uncertainty Quantification
  • AI Trustworthiness
  • Applications in Health
  • PhD in Computer Science, 2020

    University of Birmingham

  • MSc in Business Analytics, 2018

    Imperial College London