Oliver King
About Oliver King
Oliver King is a Data Analysis Scientist specializing in Machine Vision at Diamond Light Source in the United Kingdom. He holds a PhD from the University of Oxford and has extensive experience in data science methodologies and early-stage drug discovery.
Work at Diamond Light Source
Oliver King has been employed at Diamond Light Source since 2019, serving as a Data Analysis Scientist specializing in Machine Vision. In this role, he contributes to the integration of data science methodologies within the context of early-stage drug discovery. His work focuses on enhancing the capabilities of machine vision technologies to facilitate data analysis processes. Prior to his current position, he worked at Diamond Light Source as a Software Engineer from 2017 to 2019, where he gained valuable experience in software development for scientific applications.
Education and Expertise
Oliver King holds a Doctor of Philosophy (PhD) from the University of Oxford, where he also completed a Bachelor of Science (BSc) degree. He furthered his education by obtaining a Master of Science (MSc) from the University of Bristol from 2015 to 2016. His academic background is complemented by extensive experience in research software engineering and data analysis, particularly in the fields of chemical biology and imaging technologies.
Background
Oliver King's professional journey includes various roles in academia and industry. He began his career as a Research Assistant at The Structural Genomics Consortium (SGC) at the University of Oxford from 2006 to 2009. He later transitioned to a Postdoctoral Research Scientist position in Chemical Biology at the University of Oxford, where he worked for five years. His diverse experience includes roles as a Research Administrator and a Scientist at ATDBio, as well as a Consultant for UNESCO, showcasing his versatility in both research and technical capacities.
Achievements
Throughout his career, Oliver King has made significant contributions to the field of machine vision and data analysis. His involvement in early-stage drug discovery has allowed him to apply data science methodologies effectively. He has also emphasized the importance of research software engineering in scientific applications, reflecting his commitment to advancing imaging technologies and their practical uses in research.