My research lies at the intersection of machine learning and physical systems found in engineering, computer graphics, vision, and more. I build the next wave of generative models and simulation technologies, leveraging my deep experience in fundamental AI, high-efficiency meta-learning, and dynamical systems to synthesise realistic and immersive virtual worlds.
I completed my PhD at the University of Bristol under the supervision of Dr. Tom Deakin, Prof. David Barton, and Prof. Simon McIntosh-Smith. Titled Learning to Learn Sequential Dynamics, my thesis integrated expertise across AI, HPC, and Scientific Computing.
I hold an MSc in Applied Mathematics from the University of Strasbourg (2021), advised by Prof. Stéphane Labbé. Prior to that, my undergraduate studies in Mathematics and Physical Sciences spanned a BSc from Aix-Marseille University (2019) and associate degrees from Oshima College of Technology (2019), the University of the People (2019), and the National Advanced School of Engineering of Yaoundé (2017).
Beyond research, I am committed to equity in STEM education, volunteering for outreach initiatives with CodeMakers, ExamStar, and St. Teresa, among others. In my downtime, I enjoy football, playing the piano, creative coding, and building indie games.
Feel free to explore my CV or learn more through my profile on LinkedIn. Also, let’s connect via email, X, LinkedIn, or WeChat if you’d like to collaborate or simply chat!
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