Title: Computational Bio-Systems Solutions to guide Industrial Biotechnology and Clinical Medicine
Host: Rui Oliveira, LAQV - FCT NOVA
In Metabolic Engineering, the task of identifying the modifications that will lead to microbial strains with high yields for industrial production is a quite challenge one, requiring robust modelling approaches. Similarly to the biotech industry, the computational modeling and prediction of complex diseases in a proactive/preventive patient-oriented context is also a hot topic of research. In this short talk, I will present my past and current research on these areas, including in particular mathematical modeling of biological systems with applications in the rational design of more robust producing microorganisms, and data-driven techniques for the analysis of large amounts of (bio-)clinical datasets in order to extract new knowledge.
Rafael Costa graduated in Biological Engineering from the University of Minho, Portugal and finished his Ph.D. degree in Chemical and Biological Engineering at the same institution. During his PhD, R. Costa performed two short-term missions: CSAIL, MIT and University of São Paulo, Brazil. After holding a Post-Doc position with a FCT-funded grant in the Knowledge Discovery & Bioinformatics group at INESC-ID (from 2012-2014), R. Costa started to work as a researcher (integrated member) in the Systems Engineering in Life Science research group at the Center of Intelligent Systems (CSI) of the Technical University of Lisbon (IST-UL) in 2015. Since 2018 he is a Junior Researcher at CSI, IDMEC. His current research interests are in the fields of systems biology modeling & computational systems biomedicine.
Recently, he earned an Assistant Researcher position to continue his research at LAQV/Requimte.