PNNL

Angela Cintolesi is the Systems Biology Modeling Leader within the Computing, Analytics, and Modeling Group in the Environmental Molecular Sciences Division at Pacific Northwest National Laboratory (PNNL). In this role, she drives the development of systems biology modeling capabilities to complement PNNL's experimental strengths and advance both its mission and that of the Environmental Molecular Sciences Laboratory (EMSL), a Department of Energy Office of Science user facility.

Cintolesi's work focuses on integrating sophisticated models, such as constraint-based, genome-scale metabolic models and machine learning/AI-driven approaches to accelerate biological discoveries and to support the transition to autonomous science workflows. These efforts aim to deepen understanding of environmental processes and contribute to advancements in the bioeconomy.

Prior to joining PNNL, Cintolesi spent eight years as a systems biology expert in industrial research and development roles at DuPont and Genomatica. While at Genomatica, she led multiple bioeconomy-focused projects and made significant contributions to strain development and bioprocess optimization through her expertise and innovative work.

• Computational systems biology
• Autonomous workflow
• Genome-scale models
• Kinetic models
• Metabolic engineering
• Multiomics data analysis (metabolomics, proteomics, and transcriptomics)
• Bioprocess optimization
• Fermentation

• PhD in Chemical and Biomolecular Engineering, Rice University, 2013
• BS in Biotechnology Engineering, University of Chile, 2006
• BS in Chemical Engineering, University of Chile, 2006

• Fulbright-Conicyt Equal Opportunities Scholarship Recipient
• Roberto Ovalle Best Undergraduate Thesis of Engineering Award
• First in Undergraduate Class of Biotechnology Engineering

2022

• Clomburg, J.M., Cintolesi, A., Gonzalez, R. (2022). “In silico and in vivo analyses reveal key metabolic pathways enabling the fermentative utilization of glycerol in Escherichia coli.” Microbial Biotechnology, 15(1), 289–304.  https://doi.org/10.1111/1751-7915.13938 

2020

• Mandakovic, D., Cintolesi, A., Maldonado, J., Mendoza, S., Aïte, M., Gaete A., Saitua F., Allende M., Cambiazo, V., Siegel, A., Maass, A., González, M., Latorre, M. (2020). “Genome-scale metabolic models of Microbacterium species isolated from a high-altitude desert environment.” Scientific Reports. 10(1), 5560. https://doi.org/10.1038/s41598-020-62130-8

2014

• Cintolesi, A., Clomburg, J.M., Gonzalez, R. (2014). “In silico assessment of the metabolic capabilities of an engineered reversal of the β-oxidation cycle for the synthesis of longer-chain (C ≥ 4) products.” Metabolic Engineering, 23, 100-115. https://doi.org/10.1016/j.ymben.2014.02.011

2013

• Cintolesi A., Rodríguez‐Moyá, M., Gonzalez, R. (2013). “Fatty acids oxidation: systems analysis and applications.” Wiley Interdisciplinary Reviews: Systems Biology and Medicine 5(5), 575-585. https://doi.org/10.1002/wsbm.1226

2012

• Moisset P., Vaisman D., Cintolesi A., Urrutia J., Rapaport I., Andrews B.A., Asenjo J.A. (2012). “Continuous modeling of metabolic networks with gene regulation in yeast and in vivo determination of rate parameters.” Biotechnology and Bioengineering, 109(9), 2325-2339. https://doi.org/10.1002/bit.24503
   
• Cintolesi, A., Clomburg, J.M., Rigou, V., Zygourakis, K., and Gonzalez, R. (2012). “Quantitative analysis of the fermentative metabolism of glycerol in Escherichia coli.” Biotechnology and Bioengineering, 109(1), 187-198. https://doi.org/10.1002/bit.23309