I have spent a decade engineering software across multiple organisations, particularly in automated transportation and FinTech. Over the past five years, I have been actively engaged as a machine learning and explainable AI researcher at the University of Oxford, Carnegie Mellon University, and IBM Research. During my Computer Science PhD study at the University of Oxford, I developed novel interpretable ML techniques for explaining autonomous driving decisions. A prototype of this system was exhibited at one of the largest motorsport festivals in the world (the Goodwood Festival of Speed). In 2022, I co-founded a fintech company (Tilly Intelligence) to provide a better credit assessment infrastructure for micro-finance banks and other African digital lenders. Our startup secured a place in the highly selective South Park Commons Founders Fellowship.I am currently working as a postdoctoral researcher at the Oxford Robotics Institute, developing novel quantitative metrics for assessing the overall health of autonomous driving agents. I am excited about conducting cutting-edge research and solving challenging technical problems in machine learning, explainable AI, autonomous driving, and human-factors in AI.I am also a musician on the side; I play the piano and a couple of other musical instruments.
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Advisory Ai Engineer, LatcLenovoChapel Hill, Nc, Us -
Senior Applied Scientist - InterpretabilityLog10.Io Sep 2024 - PresentSan Francisco, UsAI Science team: Investigating and advancing novel interpretability techniques to enhance GenAI accuracy and safety at scale. -
Postdoctoral Research AssociateOxford Robotics Institute Jan 2023 - Aug 2024Oxford, England, Gb• Managing a research project where I am developing and implementing quantitative metrics for estimating Responsible AI Index for autonomous agents.• Extending Carla Leaderboard platform and incorporating the developed Responsible AIIndex as an additional dimension to performance assessment.• Developed an automated commentary driving system that has been exhibited in oneof the largest motorcar sports festivals in the world—Goodwood Festival of Speed.• Co-supervising masters students and collaborating with software engineers.• Assisting in teaching Artificial Intelligence and Software Engineering Courses. -
Founder FellowSouth Park Commons Feb 2022 - Nov 2022San Francisco, California, UsAs a co-founding member at N6 Labs’ Tilly Intelligence startup, I contributed to the efforts in building a robust AI-powered credit infrastructure for the African market. This led us to securing a place in the highly competitive South Park Commons Founders Fellowship. -
Research AssistantOxford Robotics Institute Sep 2019 - Sep 2022Oxford, England, Gb- Explored explanation enhancement techniques for AI systems/agents. - Developed novel algorithms that led to several publications in top conferences and journals. - Co-advised master’s students in the Engineering Science department. - Organised workshops at top AI and HCI conferences. -
Technology & Communications LeadWeidenfeld-Hoffmann Trust Jun 2021 - Apr 2022Oxford, England, GbSetup a better IT infrastructure; developed an efficient digital communication pipelinewhich led to improved internal and external engagements. -
Graduate Teaching AssistantUniversity Of Oxford Jan 2020 - Feb 2020Oxford, Oxfordshire, Gb -
Graduate Research AssistantCarnegie Mellon University Jan 2019 - Jun 2019Pittsburgh, Pa, UsConducted research around applied machine learning. I developed an efficient machine learning approach for large-scale urban land-use forecasting in sub-Saharan Africa, which was featured in popular podcasts, e.g., DataSkeptics -
Graduate Support StaffCarnegie Mellon University Sep 2017 - May 2019Pittsburgh, Pa, UsResponsible for supporting courses, conducting surveys, and general office support for various administrative functions of the organization. -
Research InternIbm Sep 2018 - Dec 2018Armonk, New York, Ny, Us• Investigated new and efficient algorithms for detecting and explaining anomalouspatterns in datasets and neural network activations.• Developed a novel technique (Smooth Grad-CAM++) to provide visual explanationsfor anomalous patterns in deep neural networks. -
Software Engineering InternOltranz May 2018 - Aug 2018Kigali, Kigali, Rw• Designed solid and scalable architectures for technical products. Also developed and deployed two USSD payment projects that enable payment collections in remote locations with inadequate internet connectivity. -
Software DeveloperSimplepay Limited May 2017 - Aug 2017• Developed two payment dashboards for payment applications that managed data fromover 50,000 users.• These products significantly increased the quality of service to merchants.
Daniel Omeiza Skills
Daniel Omeiza Education Details
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University Of OxfordComputer Science -
Carnegie Mellon UniversityInformation Technology -
University Of Ilorin, NigeriaComputer Science
Frequently Asked Questions about Daniel Omeiza
What company does Daniel Omeiza work for?
Daniel Omeiza works for Lenovo
What is Daniel Omeiza's role at the current company?
Daniel Omeiza's current role is Advisory AI Engineer, LATC.
What schools did Daniel Omeiza attend?
Daniel Omeiza attended University Of Oxford, Carnegie Mellon University, University Of Ilorin, Nigeria.
What are some of Daniel Omeiza's interests?
Daniel Omeiza has interest in Science And Technology, Education.
What skills is Daniel Omeiza known for?
Daniel Omeiza has skills like Linux, C, Windows, Web Applications, Networking, Visual Studio, Microsoft Sql Server, Telecommunications, Web Development, Cascading Style Sheets, Html, Programming.
Who are Daniel Omeiza's colleagues?
Daniel Omeiza's colleagues are Sad Ads, Magali García Novoa, Guillaume Lesguillier, Débora Díaz, Gordon Gui, Mohamad Azmi, Gilberto D. Martínez Garza.
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