Intellegens
Thomas Bridge is a BioAI Research Engineer at InstaDeep since March 2024 and has been serving as a Machine Learning Engineer at Intellegens since June 2022. With expertise in generating and improving machine learning algorithms tailored for tabular datasets, computer vision, natural language processing, and time series data, Thomas specializes in enhancing explainable AI, model extrapolation, and targeted experiment design. Thomas holds a Master of Science in Machine Learning in Science from the University of Nottingham and a Bachelor's degree in Chemical Engineering from the University of Birmingham, complemented by a foundational education at Dulwich College Suzhou.
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Intellegens
Intellegens applies machine learning to accelerate innovation for materials, chemicals, manufacturing, and beyond. Extract more value from real-world, sparse, noisy data. Win with optimised formulations, products, and processes. Save time and cost with up to 90% fewer experiments. We enable you to deploy advanced deep learning for maximum impact.Intellegens' Alchemite™ software, first developed at the University of Cambridge, trains deep neural networks from sparse, noisy data, where most machine learning approaches fail. Scientists, engineers, and analysts apply Alchemite™ through a simple web browser user interface, with powerful graphical analysis tools. Data science teams can integrate the Alchemite™ algorithm with their own tools, scripts, and workflows. This flexibility overcomes the challenges of deploying machine learning in real business and research environments.Successful applications included materials development, additive manufacturing, drug discovery, chemistry, manufacturing processes, plastics, and formulated products. Visit intellegens.ai for more information.