Samuel Tonks

Samuel Tonks

PhD Student in Computer Science

University of Birmingham

Hi!

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 Pharma R&D Bioimaging Analytics Group with the industrial supervision of Dr. Minh Doan and Dr. Steve Hood.

My research interests lie in the application of probablistic generative models to multimodal image-to-image translation problems within bioimagin and how to evaluate results in real-world, scientific scenarios.

I’ve worked on designing a pipeline for evaluating virtual staining for high-throughput screening (IEEE ISBI 2023 paper and oral). Currently have a submission under review at Bioimaging Compute Workshop ECCV titled Can virtual staining for high-thoughput screening generalise? in which we identify interesting data-centric approaches to building generalisable virtual staining models. 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 sci.vision an open-source computer vision package contributing code and pitching sci.vision 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 a submission to Bioimaging Journal AI Special Addition which presents a new method for directly predicting a posterior distribution of biological features from an unstained sample as well as novel approaches to evaluating a predicted posterior. Recruited to provide expertise on implementation of generative modelling approaches to image translation tasks at Deep Learning at Marine Biological Lab.

Before starting my PhD, I worked as a Data Scientist within Northern Europe Market Analytics in what was previously GSK Consumer Healthcare but is now Haleon. During that time I was focused on designing E2E 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 (Paris Marathon 2025 locked in), 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!

Contact: sxt118@student.bham.ac.uk

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

    University of Birmingham

  • MSc in Business Analytics, 2018

    Imperial College London