Jonathan Harrison
About Jonathan Harrison
Jonathan Harrison is an AI Research Scientist at Exscientia in Oxford, England, specializing in AI applications for pharmaceutical research. He transitioned from a background in developmental biology, having studied at the University of Oxford and worked at various institutions, including the University of Warwick and Hudl.
Work at Exscientia
Jonathan Harrison has been employed as an AI Research Scientist at Exscientia since 2022. His role involves integrating machine learning techniques into drug design processes. Based in Oxford, England, he contributes to the advancement of AI applications within the pharmaceutical research sector. His work aims to enhance the efficiency and effectiveness of drug discovery through innovative AI methodologies.
Education and Expertise
Jonathan Harrison studied Mathematics at the University of Oxford, where he earned a Master of Mathematics (MMath) from 2010 to 2014. He further pursued a Doctor of Philosophy (DPhil.) at the same institution, focusing on developing modeling and inference tools for understanding processes in developmental biology from 2014 to 2019. This educational background supports his expertise in applying AI to pharmaceutical research.
Background
Jonathan Harrison attended Hampton School from 2003 to 2010, where he completed his secondary education. His academic journey transitioned from a focus on developmental biology to the application of artificial intelligence in drug design. This shift reflects his evolving interests and the integration of his background in biology with advanced computational techniques.
Previous Experience
Before joining Exscientia, Jonathan Harrison held several positions that contributed to his professional development. He worked as a Postdoctoral Research Fellow at the University of Warwick from 2019 to 2022, where he furthered his research in modeling and inference tools. He also gained experience as a Data Science Intern at Hudl in 2018 and as a Summer Placement Student at First Actuarial in 2012.