Kirubin Pillay
About Kirubin Pillay
Kirubin Pillay is an AI Research Scientist at Exscientia in Oxford, England, with a background in biomedical engineering and extensive research experience at the University of Oxford. He has contributed to innovative projects, including an eye-tracking wheelchair, and has presented his findings at various international conferences.
Work at Exscientia
Kirubin Pillay has been employed as an AI Research Scientist at Exscientia since 2021. In this role, he focuses on the application of artificial intelligence in drug discovery and development. Based in Oxford, England, he contributes to the company's mission of integrating AI into the pharmaceutical industry to enhance efficiency and effectiveness in drug design.
Education and Expertise
Kirubin Pillay holds a DPhil in Biomedical Engineering from the University of Oxford, which he completed as part of the Centre for Doctoral Training in Healthcare Innovation from 2014 to 2019. He also earned a Master of Engineering (MEng) in Bioengineering and Biomedical Engineering from Imperial College London between 2010 and 2014. His educational background equips him with a strong foundation in engineering principles and biomedical applications.
Background
Pillay's academic career includes various roles at the University of Oxford. He served as a Postdoctoral Research Associate from 2019 to 2021 and as a Visiting Researcher from 2021 to 2022. Additionally, he worked as a Lab Demonstrator and University Tutor within the Department of Engineering Science. His experience spans teaching and research, contributing to his expertise in biomedical engineering.
Achievements
Pillay developed an eye-tracking wheelchair that received significant media attention from outlets such as the BBC and Al Jazeera. He presented his research at clinical and engineering conferences across Europe and the USA. His work on the eye-tracking wheelchair project won first prize in an international student design competition. He has also collaborated on projects involving digital signal processing and machine learning for tracking brain maturation in preterm babies.
Research Experience
Pillay's research experience includes working on an Electromyogram (EMG)-controlled bicycle aimed at clinical and rehabilitative applications. His involvement in undergraduate tutorial teaching and PhD supervision further demonstrates his commitment to education and mentorship in the field of biomedical engineering.