Hi there ! I’m Roussel Desmond Nzoyem (pronounced zo-e-m), a PhD student in Scientific Machine Learning at the University of Bristol, investigating parallel algorithms for combined data-driven and physics-informed simulation and control. I’m advised by Dr Tom Deakin, Pr David Barton, and Pr Simon McIntosh-Smith.
My research sits at the intersection of Artificial Intelligence, High Performance Computing, and Scientific Computing. Some of the questions I ponder are:
- How to best learn and combine classical knowledge of physical systems with data-driven approaches ?
- How to make these systems robust to noise while generalizing well to unseen scenarios with limited data ?
- How to scale existing physics-based AI techniques to real-world engineering problems: this involves questions like strong/weak scaling and uncertainty quantification.
- What role do humans and domain scientists in particular play in the envisioned systemic symbioses above ?
- The parallel computational theory of the causal mind as broadly covered by John R. Searle in Philosophy of Mind and Malcolm Gladwell in Blink.
For more details, read my CV or view my profile on LinkedIn. If they grab your attention, please do send me a message.
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