Samuel Tonks
Computer Science Specialist @Mercor
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WORK HISTORY
Computer Science Specialist @Mercor
EDUCATION
University of Portsmouth
Business (BA), Business Administration and Management
Imperial College London
Master of Science - MSc, Analytics
University of Birmingham
Doctor of Philosophy - PhD, Computer Science
SKILLS
ABOUT SAMUEL TONKS
Machine Learning Scientist with expertise in generative modeling, high-performance computing, distributed ML infrastructure, and scalable data processing. Recently awarded Ph.D exploring the quantification of uncertainty and generalizability in generative models for virtual staining in high-throughput imaging. Previously worked as Ph.D researcher at GSK optimising ML pipelines in PyTorch CUDA on HPC, reducing imaging experiment time by 33%. Experience in large-scale model evaluation and probabilistic metrics for generative models. Former Core Developer at The Alan Turing Institute, improving CI/CD workflows and ML observability. Industry background in ETL pipeline optimisation and time-series forecasting. Proficient in Python, PyTorch, CUDA, and large-scale system design.Recent publications include ISBI 2023, WACV 2023, and BIC @ ECCV 2024.You can learn more about my work at https://samueltonks.com/
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