Richard Tomsett
About Richard Tomsett
Richard Tomsett is a Senior Applied Scientist at Onfido, specializing in fraud detection and the application of advanced AI methods. He has a diverse academic background and extensive experience in applied science, having previously worked at IBM and the Okinawa Institute of Science and Technology.
Current Role at Onfido
Richard Tomsett serves as a Senior Applied Scientist at Onfido, a position he has held since 2021. In this role, he focuses on leveraging his expertise in applied science to enhance the company's fraud detection capabilities. His work involves analyzing how advanced AI and deep learning methods can be utilized to combat fraud effectively. Tomsett's contributions are integral to the development of innovative solutions that address emerging challenges in identity verification.
Previous Experience in Applied Science
Prior to his current role, Richard Tomsett worked at IBM as a Research Scientist from 2016 to 2021. In this capacity, he contributed to various projects related to software development and applied science. He also held a position as a Software Developer at IBM for five months in 2015. His experience includes a role as a Postdoctoral Fellow at the Okinawa Institute of Science and Technology from 2014 to 2015, where he engaged in advanced research initiatives.
Educational Background
Richard Tomsett has a solid educational foundation in science and technology. He earned a Bachelor's Degree from the University of Durham from 2004 to 2007. He then pursued a Doctor of Philosophy (PhD) at the University of Newcastle-upon-Tyne from 2010 to 2014. Additionally, he obtained two Master's Degrees, one from the University of Edinburgh in 2008 and another from the University of Newcastle-upon-Tyne in 2010. His academic background supports his expertise in applied science and fraud detection.
Expertise in Fraud Detection
Richard Tomsett is recognized for his expertise in fraud detection, particularly in understanding the tactics employed by fraudsters. He specializes in the application of advanced AI and deep learning methods to identify and mitigate fraudulent activities. His knowledge extends to addressing challenges posed by deepfakes, a growing concern in the field of identity verification and security. Tomsett's work is pivotal in developing strategies to counteract these sophisticated threats.
Professional Development and Internships
Throughout his career, Richard Tomsett has engaged in various professional development opportunities. He served as a Data Science Fellow at Science to Data Science for one month in 2015. Additionally, he gained experience as a Policy Intern at the Centre for Science and Policy, University of Cambridge, from 2013 to 2014. These roles provided him with insights into the intersection of science, policy, and technology, further enhancing his professional capabilities.