Dynamic Neural Cellular Automata
Extending neural cellular automata to learn spatiotemporal dynamics
Posts by Collection
portfolio
On the Vulnerability of concept erasure in diffusion models
Existing concept erasure methods are not adversarially robust
Internship: Rystad Energy
Data science internship in Rystad Energy
Introductory machine learning for physicists
A 2 hour workshop I organised to bring physics PhD students up to speed with modern machine learning. 
publications
Learning spatio-temporal patterns with Neural Cellular Automata
Published in PLOS Computational Biology, 2024
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Recommended citation: Alex D. Richardson, Richard A Blythe, Tibor Antal, Linus J. Schumacher. "Learning spatio-temporal patterns with Neural Cellular Automata." PLOS Computational Biology. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011589
On the Vulnerability of Concept Erasure in Diffusion Models
Published in Arxiv, 2026
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Recommended citation: Lucas Beerens, Alex D. Richardson, Kaicheng Zhang, Dongdong Chen. "On the Vulnerability of Concept Erasure in Diffusion Models." Arxiv. https://arxiv.org/abs/2502.17537
talks
ICMS From Individual to Collective Behaviour in Biological and Robotic Systems
Published:
International Centre for Mathematical Sciences workshop on the individual and collective behaviour in biological and robotic systems. More information
ECMBT Heidelberg 2022
Published:
European Conference on Mathematical and Theoretical Biology. More information
Mathematical Methods for the Study of Self-organization in the Biological Sciences, Vienna 2022
Published:
Winter school on mathematical techniques for studying self organising systems. Focused mostly on Vicsek model like PDEs. More information
Interdisciplinary challenges: from non-equilibrium physics to life sciences
Published:
Conference on the intersection between non-equilibrium physics, complex systems and biology. More information
ICMS Mathematical Foundations of Data Driven Engineering 2023
Published:
International Centre for Mathematical Sciences workshop on the Mathematical Foundations of Data Driven Engineering. More information
Edinburgh Mathematical Biology Conference: seperation of timescales
Published:
Short conference on a wide range of mathematical biology where seperations of timescales are important. More information
Conference on Deep Learning for Computational Physics
Published:
Conference on deep learning for computational physics. More information
Physics of Life Winter school, Durham 2023
Published:
Winter school on physics of life. Focused mostly on advances in imaging techniques, and on soft skills training. More information
Dynamics, Data and Deep Learning Workshop
Published:
Workshop on Dynamics, Data and Deep Learning More information
Hackathon Workshop on Generative Modelling
Published:
Hackathon exploring generative AI, organised by the Isaac Newton Institute and Amazon. More information
teaching
Numerical Recipes
Undergraduate course, University of Edinburgh, School of Physics and Astronomy, 2022
I was a teaching assitant on an undergraduate physics course teaching scientific programming techniques. This included numerical linear algebra; regression and optimisation; and numerical methods for differential equations.
Modelling and Visualisation in Physics
Undergraduate course, Unviersity of Edinburgh, School of Physics and Astronomy, 2023
I was a teaching assistant on an undergraduate physics course teaching advanced simulation and visualisation techniques. This course explored Ising models, cellular automata, epidemiology modelling and numerical PDEs. There was also a focus on interpretting and visualising outputs of simulations.