Christos Sagonas

Director Of Applied Science @ Onfido

About Christos Sagonas

Christos Sagonas serves as the Director of Applied Science at Onfido, a position he has held since 2020. He earned a PhD in Computer Vision and Machine Learning from Imperial College London and holds both an MSc and BSc in Informatics from Aristotle University of Thessaloniki.

Work at Onfido

Christos Sagonas serves as the Director of Applied Science at Onfido, a position he has held since 2020. In this role, he is responsible for leading initiatives related to applied science within the organization. His work focuses on integrating advanced technologies to enhance the company's offerings in identity verification and fraud prevention. Based in London, England, Sagonas contributes to Onfido's mission by leveraging his expertise in machine learning and computer vision.

Education and Expertise

Christos Sagonas has a strong educational background in computer vision and machine learning. He earned his PhD from Imperial College London, where he studied from 2012 to 2016. Prior to that, he obtained both his MSc and BSc degrees in Informatics with a specialization in Digital Media from Aristotle University of Thessaloniki. His academic training provides a solid foundation for his work in applied science, particularly in the areas of technology and data analysis.

Background

Christos Sagonas has a comprehensive academic background in informatics and digital media. He completed his BSc at Aristotle University of Thessaloniki from 2005 to 2009, followed by an MSc at the same institution from 2009 to 2011. His pursuit of advanced studies culminated in a PhD at Imperial College London, where he focused on computer vision and machine learning. This educational trajectory has equipped him with the necessary skills to excel in his current role.

Professional Experience

Since joining Onfido in 2020, Christos Sagonas has accumulated four years of experience in the field of applied science. His role involves overseeing projects that utilize machine learning and computer vision technologies. This experience has positioned him as a key figure in the development of innovative solutions within the identity verification sector.

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