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Dr Goñi-Moreno is a Lecturer in Synthetic Biology at the School of Computing of Newcastle University (UK), and Principal Investigator at the Interdisciplinary Computing and Complex Biosystems (ICOS) research group. He leads a group that carries out research at the interface of computing and biology, both theoretical and experimental.
Dr. Goñi-Moreno has a degree in Computer Engineering, an MSc in Artificial Intelligence and a PhD in theoretical synthetic biology from the Technical University of Madrid (UPM, Spain, 2010). Before joining Newcastle University as a PI (2016), he had two postdoctoral positions in world-leading laboratories in unconventional computing (Martyn Amos, MMU, UK) and synthetic biology (Victor de Lorenzo, CNB, Spain).
His research activity revolves around the understanding of how information is processed by bacteria, and the modification of their information-processing mechanisms to engineer new-to-nature computing functions. This umbrella topic includes from the design and engineering of gene regulatory circuits, such as genetic logic gates, to the mathematical modelling of molecular dynamics and data integration techniques for design automation—let alone the development of standards for synthetic biology.
At Newcastle University, Dr Goñi-Moreno trains the next generation of scientists through the one-year MSc in Synthetic Biology and the supervision of the local International Genetically Engineered Machine Competition (iGEM) teams. He is an active member (and former Editor) of the Synthetic Biology Open Language (SBOL) community, co-founder of the European Synthetic Biology Society (EUSynBioS) and holder of the prestigious EPSRC Frist Grant award.
During his stage at the CBGP (UPM-INIA) Dr. Goñi-Moreno will collaborate with the Computational and Systems Biology Program (CsBGP) launched in the frame of the Severo Ochoa Center of Excellence Award granted to the CBGP (UPM-INIA). He will also collaborate giving some seminars in the Seminar Program of the Computational Biology Master of the UPM, that was initiated the last year in the frame of the CsBGP.
Welcome Angel to the CBGP!!!
About Dr. Goñi-Moreno
About the CBGP (UPM-INIA)
The mission of the CBGP (UPM-INIA) is to carry out fundamental and strategic research in plant science and in microorganisms interacting with plants. The research is focused on understanding important biological processes such as plant development, the interaction of plants with the environment and the mechanisms of plant nutrition. Additionally, CBGP is interested in developing and using computational biology tools to achieve its goals. The acquired knowledge is used to tackle major problems of agriculture and forestry, and to develop novel technological solutions. CBGP (UPM-INIA) has also an educational role and is a reference center for training scientists and Master's and Bachelor-level students in plant biotechnology and genomics. CBGP (UPM-INIA) has been recognized by the Spanish Research Agency as Centre of Excellence Severo Ochoa, the highest institutional recognition of scientific research excellence in Spain CBGP (UPM-INIA).
About UPM Computational Biology Master:
The Master in Computational Biology is aimed to Graduates in Experimental Sciences who want to complement their formation by expanding their knowledge in the area of computing, and Computer Engineers who want to be trained in Bioinformatics. The objective of the Master is to train professionals who are able to understand the biological problems they face, both in a business and academic context, and give them the most appropriate bioinformatics solution. Both the scientific community and pharmaceutical and biotechnology companies are increasingly aware of the enormous advantages of applying bioinformatics tools to their research or to their production chains. As a consequence, there is currently a great demand for professionals trained in the area of Computational Biology. The Polytechnic University of Madrid (UPM) has extensive experience in the areas of knowledge of Computer Science and Biological Sciences, from both a teaching and an applied point of view. The Master in Computational Biology includes this experience to bring to its students the knowledge of UPM professionals, whose work has an international prestige.
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