Daniel Cutting
About Daniel Cutting
Daniel Cutting is a Research Scientist in Immunoinformatics at Exscientia in Oxford, England, with over five years of experience in high-performance computing and numerical simulations. He holds a PhD in Theoretical Physics from the University of Sussex and has previously worked at the University of Helsinki and Earth-i.
Work at Exscientia
Daniel Cutting has been employed at Exscientia as a Research Scientist in Immunoinformatics since 2022. His role involves applying advanced computational techniques to enhance research in immunology. Based in Oxford, England, he has contributed to the company's focus on integrating artificial intelligence with drug discovery processes.
Previous Experience at University of Helsinki
Before joining Exscientia, Daniel served as a Postdoctoral Researcher at the University of Helsinki from 2020 to 2022. During this time, he focused on developing custom-built massively parallel simulation codes aimed at researching the early Universe. His work contributed to the understanding of complex astrophysical phenomena.
Educational Background in Theoretical Physics
Daniel Cutting earned a Doctor of Philosophy (PhD) in Theoretical Physics from the University of Sussex, where he studied from 2016 to 2020. Prior to his PhD, he completed a Master of Physics (MPhys) at the same institution from 2012 to 2016. His education provided a strong foundation in mathematical skills and theoretical concepts.
Research Interests and Expertise
Daniel has a keen interest in leveraging machine learning and data science techniques to drive innovation in scientific research. His research topics include gravitational waves, phase transitions, relativistic hydrodynamics, and turbulence. He has over five years of programming experience, particularly in high-performance computing and numerical simulations.
Internship Experience at Earth-i
In 2020, Daniel completed a two-month internship at Earth-i as part of the Earth Observation GRADnet program. This experience allowed him to apply his scientific knowledge in a practical setting, focusing on satellite data and its applications in Earth observation.