Biography
I obtained my BSc in Mathematics from the University of Bologna, and my MSc in Applied Mathematics from Imperial College of London. I started a DPhil in Mathematics in 2022 supervised by Professor Ruth Baker and Dr Alex Browning. I joined St Hugh’s in 2023 as a Stipendiary Lecturer in Mathematics, teaching subjects ranging from Numerical Analysis and Calculus to Linear Algebra, Geometry and Topology.
Research Interests
My research is in the wide area of Mathematical Biology. I am interested in using mathematics, data science, statistics, and physics to deepen the understanding of complex biological systems. On the mathematical side of things, I focus on building models and using data to calibrate them, compare them and select between them. I also study the identifiability properties of a model, asking whether the data available allows to find the model parameters and with what uncertainty. I apply models to different biological processes, ranging from gene regulatory networks to mRNA transport inside neurons.
Publications
Ceccarelli, A., Browning, A.P., Chaiamarit, T., Davis, I. and Baker, R.E., 2025. A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models. arXiv preprint arXiv:2505.19292.
Ceccarelli, A., Browning, A.P. and Baker, R.E., 2025. Approximate solutions of a general stochastic velocity-jump model subject to discrete-time noisy observations. Bulletin of mathematical biology, 87(5), p.57.
Brożek, A., Ceccarelli, A., Jørgensen, A.C.S., Hintze, M., Shahrezaei, V. and Barkoulas, M., 2025. Inference of a three-gene network underpinning epidermal stem cell development in Caenorhabditis elegans. iScience, 28(2).
Thompson, M.K., Ceccarelli, A., Ish-Horowicz, D. and Davis, I., 2023. Dynamically regulated transcription factors are encoded by highly unstable mRNAs in the Drosophila larval brain. RNA, 29(7), pp.1020-1032.
