Daniel Omeiza

Daniel Omeiza

Post-Doctoral Research Assistant

University of Oxford

Email: danielomeiza[at]robots.ox.ac.uk


I am postdoctoral researcher at the Oxford Robotics Institute (ORI) where I research explainability in robotic systems. I am also developing new quantitative metrics for assessing the overall health of autonomous driving agents. I have spent the past 5 years as an active machine learning and explainable AI researcher across organisations such as the University of Oxford, Carnegie Mellon University, and IBM Research. During my PhD in CS at Oxford University, I leveraged XAI and behavioural science theories to develop transparent algorithms for generating intelligible explanations in autonomous driving. These explanation techniques have been deployed within large projects like the SAX and the RAILS projects. I am also a musician and play the piano and a bunch of other musical instruments.

Download my CV.

  • Explainable AI
  • Machine Learning
  • Knowledge Representation
  • Autonomous Driving
  • Human Factors in AI
  • DPhil in Computer Science, 2022

    University of Oxford

  • MS in Information Technology (ML & SWE), 2019

    Carnegie Mellon University

  • BSc in Computer Science, 2015

    University of Ilorin