El próximo miércoles, 12 de marzo, tendremos un nuevo Seminario de la Semana. En esta ocasión, será un seminario especial con motivo del centenario del nacimiento de Margaret Dayhoff, pionera en el campo de la bioinformática.
Irene Otero Muras, investigadora del grupo de Biología Sintétitca Computacional en el Instituto de Biología Integrativa de Sistemas (I2Sysbio), impartirá un seminario titulado: “Predictive Engineering of Microbes: Key Achievements and Future Directions”. El seminario comenzará a las 10:00 en el Salón de Actos del IATA.
Más información sobre el seminario.
Predictive Engineering of Microbes: Key Achievements and Future Directions
Predictability is the next frontier in biology. In this talk, I will discuss key past achievements, identify the bottlenecks hindering predictability in systems and synthetic biology, and outline strategies to overcome them. These previous results and insights form the foundation of the ERC Consolidator Project CellWise, set to begin in March 2025.
Sobre Irene Otero Muras
Chemical Engineer by training, She did her PhD in applied mathematics at the BioProcess Engineering Group (IIM-CSIC, Vigo). Since the beginning of her scientific career she was interested in understanding the complex dynamic behavior of biomolecular networks and its connection with relevant biological functions. During her postdoc at ETH- Zurich, she became familiar with the open questions and challenges in systems and synthetic biology.
Back at CSIC she started her work on the automated design of biocircuits for synthetic biology and on efficient methods for stochastic modeling and simulation of gene regulatory networks, helping to provide insight on cellular decisions. Since November 2021 she leads the Computational Synthetic Biology Group at I2SYBIO where they work on the design, analysis and control of biomolecular networks: nonlinear, complex systems with relevance in cell regulation, signaling and metabolic processes. Their research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology.