![Iconic Mark black.png](https://static.wixstatic.com/media/0691c0_447b5f32bfc047489a111dd650db6937~mv2.png/v1/fill/w_477,h_430,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/0691c0_447b5f32bfc047489a111dd650db6937~mv2.png)
My Research
I work at the interface of synthetic biology and computational biology,
decoding and expanding genome functions that introduce new chemistries in cells.
I will establish a leading research group focused on
developing computational and experimental cellular engineering tools
for the understanding and engineering of cellular functions with expanded codes.
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We will employ fundamental synthetic biology, metabolic engineering, and machine learning approaches.
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Discovered molecular processes involved in the evolution of an engineered genetic code using a 61-codon Escherichia coli strain, and developed technology for its bioisolation / biocontainment: Pre-print​
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Identified and troubleshooted cellular fitness issues arising from an E. coli 57-codon genome design, among other efforts toward the construction of the strain: Pre-print
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Built deep learning models and mechanistic models to improve cellular fitness (in preparation)
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Engineering cells with an engineered genetic code to encode non-standard amino acids (in preparation)​​​
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Collaboration with Prof. James J Collins (MIT) and Jonathan M Stokes (MIT, McMaster University):
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Analyzed omics, sequencing, and structural data to understand protein-drug interactions and the mode of action of antibiotics discovered with artificial intelligence: E. coli and Acinetobacter baumannii
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Collaboration with Prof. Stephanopoulos (MIT):
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Identified metabolic constraints that allow modeling metabolism upon substrate co-feeding (in preparation)
![](https://static.wixstatic.com/media/0691c0_e6b7f3cbed0b49c7aabb04f1ec48e986~mv2.png/v1/crop/x_0,y_0,w_7875,h_2378/fill/w_551,h_166,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/0691c0_e6b7f3cbed0b49c7aabb04f1ec48e986~mv2.png)
Image from Chiappino-Pepe et al (2024)
Postdoctoral research
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Led computational efforts of interdisciplinary and international MalarX project – involved collaborations with the University of Geneva and Bern (CH), Leiden (NL), and Sanger Institute (UK): publication​
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Established optimization-based computational tools for analysis of the cellular metabolic function in highly metabolically active (publications iPfa, iPbe) and dormant organisms (master thesis), understanding of the genotype-phenotype relationship (publication), annotation of missing biochemistry in metabolic reconstructions (publication), and analysis of labelled metabolic models (master thesis)
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Worked on network analysis and reactive site identification to evaluate drug action mechanisms: publication
![target_malaria.png](https://static.wixstatic.com/media/0691c0_db8bdc81ab7840769eda051b6117ce42~mv2.png/v1/crop/x_0,y_560,w_2707,h_1701/fill/w_600,h_377,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/target_malaria.png)
Image published in our press release
at https://actu.epfl.ch/news/a-breakthrough-in-malaria-research/ and others.