Tom Brooks

Tom Brooks is a highly educated individual who recently completed a PhD in high energy physics, specializing in writing software and designing algorithms for reconstructing particle interactions in large detectors. He has a strong interest in machine learning and artificial intelligence, particularly in their statistical foundations and their practical applications to scientific and ethical issues.

Tom Brooks holds a Master's degree in Physics, achieving a first-class honor, from The University of Manchester. He furthered his studies by completing a Doctor of Philosophy in Elementary Particle Physics at The University of Sheffield. His educational background demonstrates a deep understanding of theoretical and practical aspects of physics and related computational work.

Tom Brooks has held various positions in prestigious organizations, including being a Postdoctoral Researcher at The University of Sheffield. Additionally, he has experience working as a Release Manager at the Short-baseline near detector and as an Intern at Rutherford Appleton Laboratory. He has also contributed as a Summer Research Intern at The University of Manchester.

His expertise spans software development, algorithm design, high energy physics, machine learning, and artificial intelligence. With a solid foundation in physics and a keen interest in cutting-edge technologies, Tom Brooks is equipped to tackle complex scientific challenges and contribute meaningfully to advancements in his field.