Edward Hirst: Bridging Academic Excellence, Technology, and Community Engagement

Edward Hirst, a photojournalist, researcher, and media consultant, seamlessly blends expertise in technology, academia, and community service. With a PhD in Mathematics from City, University of London (2023), Hirst’s research has spanned machine learning applications in superstring theory and advanced modeling in plasma physics.

Edward Hirst Career

Currently, a Postdoctoral Researcher at Queen Mary University of London, Hirst continues his academic contributions while serving as a Visiting Researcher at the London Institute for Mathematical Sciences. His work has garnered recognition for integrating machine learning with theoretical physics, including innovative studies on the Calabi-Yau landscape and quiver gauge theories.

Beyond academia, Hirst’s practical experiences include placements at leading institutions such as MIT and Imperial College London. His projects have ranged from applying machine-learning algorithms to CERN open data to implementing super-time-stepping methods for kinetic theory modeling.

Committed to fostering opportunities for underserved communities, Hirst actively mentors students as a Research Supervisor for BMUCO, creating accessible research experiences. His previous volunteer work with Essex Boys and Girls Clubs highlights his dedication to youth empowerment.

Hirst’s versatility extends to consulting roles, where he provides technical support to media professionals and advocates for individuals with additional support needs. His career showcases a unique fusion of academic rigor, technological innovation, and social responsibility.