My research develops efficient models for sequential decision-making, with applications across: (1) scientific machine learning, where optimal controls steer physical systems governed by differential equations into desirable states; (2) world models, where actions determine subsequent system states; and (3) experimental design, where utility functions prescribe the next system state to explore. To improve usability in the real world, I make these models more adaptable and uncertainty-aware by leveraging meta-learning, weight-space learning, and differentiable simulation.
Currently, I am a Postdoctoral Researcher at the University of Manchester in Prof. Samuel Kaski’s team. Within the Centre for AI Fundamentals, my research seeks to design principled foundational world models for experimental design.
I completed my PhD at the University of Bristol under the supervision of Dr. Tom Deakin, Prof. David Barton, and Prof. Simon McIntosh-Smith. I received my MSc in Applied Mathematics from the University of Strasbourg (2021), advised by Prof. Stéphane Labbé at Sorbonne’s Laboratoire Jacques-Louis Lions. 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!
Education
Work Experience
Hobbies
