I work on problems at the intersection of machine learning and physical simulation, with a particular interest in three broad areas: (1) Amortised Bayesian inference, where I formulate decision-making strategies for inferring simulator parameters; (2) scientific machine learning, where I combine traditional numerical partial differential equation (PDE) solvers with data-driven and probabilistic approaches; and (3) world models, which emulate and reason about physical laws from natural images and videos.
My overarching goal is to build agents that generalise to out-of-distribution scenarios with well-calibrated uncertainty estimates. Such agents should automatically discover useful priors and rapidly update them in light of new evidence. To achieve this, I draw on expertise in meta-learning, weight-space learning, in-context learning, probabilistic modelling, optimal control, differentiable simulation, and high-performance computing; and I address pressing challenges in fluid dynamics, weather forecasting, quantitative finance, computational biology, and beyond.
I am currently a postdoctoral researcher at the University of Manchester in Prof. Samuel Kaski’s team. Within the Centre for AI Fundamentals, my research explores principled world models for amortised Bayesian inference and experimental design.
I completed my PhD at the University of Bristol, within the Interactive AI CDT and the HPC Research Group, 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, St. Teresa, The Brilliant Club, 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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