Trevor Hardcastle

Trevor Hardcastle

Research Scientist (Quantum Machine Learning) @ InstaDeep

About Trevor Hardcastle

Trevor Hardcastle is a Research Scientist specializing in Quantum Machine Learning at InstaDeep Ltd. He has a strong academic background with a PhD in Computational Materials Physics and has successfully raised significant funding for AI technology initiatives.

Current Role at InstaDeep

Trevor Hardcastle serves as a Research Scientist specializing in Quantum Machine Learning at InstaDeep Ltd. He has been in this position since 2023, contributing to advancements in the field while based in London, England. His role involves applying his expertise in quantum computing to develop innovative solutions within the organization.

Previous Experience at Vet-AI

Trevor Hardcastle held multiple roles at Vet-AI, including Chief Data Scientist from 2018 to 2022 and MLOps Consultant from 2022 to 2023. As Chief Data Scientist, he was instrumental in leading data-driven projects and strategies. He also successfully pitched for £12.6M in funding from global industry players, representing Vet-AI's AI technology at around 50 pitches.

Academic Background and Education

Trevor Hardcastle has an extensive academic background. He earned a PhD in Computational Materials Physics from the University of Leeds from 2010 to 2014. He also achieved a BSc in Physics with First Class Honours from King's College London from 2005 to 2008, and an MSc in Quantum Fields and Fundamental Forces from Imperial College London in 2009.

Research and Publications

Trevor Hardcastle has published 13 peer-reviewed journal articles in the fields of computational physics and data science. His research contributions reflect a strong focus on advancing knowledge and methodologies within these disciplines. He has also raised over £400,000 in academic funding from organizations such as EPSRC and Innovate UK.

Teaching and Communication Skills

Trevor Hardcastle has experience in teaching, having worked as an Undergraduate Teaching Assistant at the University of Leeds from 2011 to 2012. He is noted for his ability to explain complex concepts in plain English, which enhances his effectiveness as a communicator, particularly in front of large audiences.

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