Tom Barrett

Tom Barrett

Research Scientist In Reinforcement Learning @ InstaDeep

About Tom Barrett

Tom Barrett is a Research Scientist specializing in Reinforcement Learning at InstaDeep Ltd in London, England, where he has worked since 2021. He has a background that includes roles at the University of Oxford and various internships in the technology sector.

Work at InstaDeep

Tom Barrett has been employed at InstaDeep Ltd as a Research Scientist in Reinforcement Learning since 2021. His role focuses on advancing research in the field of reinforcement learning, contributing to the company's initiatives in artificial intelligence. Based in London, England, he has been part of the team for three years, engaging in projects that leverage machine learning techniques to solve complex problems.

Education and Expertise

Tom Barrett holds a DPhil in Atomic and Laser Physics from the University of Oxford, which he completed from 2014 to 2018. Prior to this, he earned an MSci in Natural Science with a focus on Mathematics and Physics from Durham University, studying from 2009 to 2013. His educational background provides a strong foundation in scientific research and analytical skills, particularly in the areas of physics and mathematics.

Background

Before joining InstaDeep, Tom Barrett gained extensive experience in research and consulting. He served as a Postdoctoral Researcher at the University of Oxford from 2018 to 2020, following his PhD studies. His earlier roles included a position as a Consultant at CHP Consulting from 2013 to 2014 and internships at W. L. Gore & Associates and Metaswitch Networks in 2011 and 2012, respectively.

Research Experience

Tom Barrett's research experience includes significant contributions during his time as a Postdoctoral Researcher at the University of Oxford, where he focused on advanced topics in physics. His doctoral research in Atomic and Laser Physics further solidified his expertise in scientific inquiry and experimentation. This background informs his current work in reinforcement learning, where he applies his research skills to develop innovative solutions.

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