Biography

Maurice Filo is an Assistant Professor in the Department of Engineering at the University of Cambridge, in the Information Engineering Division and Control Group. He is also a Fellow of Gonville and Caius College. His research spans control theory, dynamical systems, synthetic biology, and AI. His research develops mathematically grounded biomolecular feedback controllers—built from chemical reaction networks—to improve robustness and adaptation in noisy cellular environments, translating theory into genetically implemented circuits in close collaboration with experimental teams. He has authored multiple publications, holds two pending patents, and has also developed a generative AI tool that automatically designs reaction networks to realize user-defined functions.

Trained in electrical and computer engineering and later mechanical engineering, Maurice earned two master’s degrees and a PhD, with earlier work spanning stochastic uncertainty, inner-ear instabilities, and large-scale optimal control for mobile sensing and PDE-constrained estimation—experience that continues to shape his approach to rigorous, cross-disciplinary research.