Projects per year
Personal profile
Research interests
Lucia's research is focused on developing quantitative tools to understand cell dynamics and engineering-inspired methodologies for controlling living system functions, with the final aim to both disentangle and reprogram the complexity governing life.
Her approach combines tools from different disciplines: control engineering, systems and synthetic biology, and computer science.
The interdisciplinary research group Lucia leads works on 3 main research areas:
1. synthesis of controllers which can robustly engineer novel cellular functions while expanding the repertoire of redesigned phenotypes across organisms;
2. implementation of pipelines that can support whole-cell design and make synthetic biology design-build-test-learn cycles more predictable and efficient;
3. understanding of the endogenous processes which regulate higher organism gene expression in space and time for superior, nature-inspired design aims.
Structured keywords and research groupings
- Mathematics and Computational Biology
- Bristol BioDesign Institute
Keywords
- synthetic biology
- systems biology
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EEBio: Efficient Engineering and Control of Predictable and Reliable Biosystems
1/03/24 → 28/02/30
Project: Research
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Research output
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Data hazards in synthetic biology
Zelenka, N. R., Di Cara, N. H., Sarvaharman, S., Ghataora, J. S., Parmeggiani, F., Nivala, J., Abdallah, Z. S., Marucci, L. & Gorochowski, T. E., 6 Jul 2024, In: Synthetic Biology. 9, 1, 10 p., ysae010.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access -
FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification
Sharma, K., Marucci, L. & Abdallah, Z. S., 27 Mar 2024Research output: Other contribution
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Bridging the gap between mechanistic biological models and machine learning surrogates
Gherman, I. M., Marucci, L., Gorochowski, T. E., Abdallah, Z. S., Grierson, C. S. & Pang, W., 20 Apr 2023, In: PLoS Computational Biology. 19, 4, p. e1010988 e1010988.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access12 Citations (Scopus)
Datasets
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Code for metabolic flux analysis
Marucci, L. (Creator), Grierson, C. S. (Creator), Chalkley, O. (Creator), Rees-Garbutt, J. P. (Creator), Breese, A. (Creator), Landon, S. (Creator), Rightmyer, J. (Creator), Gherman, I. M. (Creator), Harrison, C. (Creator) & Pedone, E. (Creator), University of Bristol, 24 Nov 2021
DOI: 10.5523/bris.879w4p1r8iy32ef9vcwftq9ts, http://data.bris.ac.uk/data/dataset/879w4p1r8iy32ef9vcwftq9ts
Dataset
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Data from minimal gene set whole-cell modelling
Marucci, L. (Creator), Grierson, C. S. (Creator), Chalkley, O. (Creator), Rees-Garbutt, J. P. (Creator) & Rightmyer, J. (Creator), University of Bristol, 30 Apr 2021
DOI: 10.5523/bris.356boayld729v2snyncfoltt0w, http://data.bris.ac.uk/data/dataset/356boayld729v2snyncfoltt0w
Dataset
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E coli WCM WT
Marucci, L. (Creator), Grierson, C. S. (Creator), Chalkley, O. (Creator), Rees-Garbutt, J. P. (Creator), Landon, S. (Creator) & Rightmyer, J. (Creator), University of Bristol, 3 Apr 2021
DOI: 10.5523/bris.2uymxzuikvnc526gu3b44gvxht, http://data.bris.ac.uk/data/dataset/2uymxzuikvnc526gu3b44gvxht
Dataset