I am a Computer Scientist by training, and I am still doing computer science, but using living biological systems as hardware / software. I got to know about DNA Computing in my undergrad and started researching on Synthetic Biology for my PhD. After postdoc-ing with Martyn Amos (MMU, UK) and Víctor de Lorenzo (CNB, Spain), I established my first group at Newcastle University (UK). Back to Madrid in 2020 to join the CBGP and launch the Biocomputation Lab.
I am the project manager and general problem solver of the team. I am also a vet by training so I am always ready to provide random data about animals.
After a PhD in protein evolution and engineering in Canada, I have joined the lab to explore the evolutionary dynamics of living organisms with synthetic genes. I am passionate about evolution, biochemistry and nature in general and my main research interest is to increase our understanding of synthetic organisms to better direct engineering applications.
I hold a MSc in Biophysics and a BSc in Physics from Universidad Autónoma de Madrid and I obtained my PhD in Artificial Intelligence at Universidad Politécnica de Madrid. My research interests are Systems and Synthetic Biology, Theoretical and Computational Biology, Complex Systems, Oscillations, Chronobiology, Biomolecular Computing.
I am a wetlab postdoc in Angel’s lab. In the past, I have worked with optogenetic tools and metabolic engineering with Pseudomonas putida. Currently, I am working on the characterization and utilization of gene expression noise and its role in evolution. I am interested in learning about microbial molecular processes in order to apply this knowledge for the optimization of bacterial functions, both natural or implemented, with different purposes (bioproduction, bioremediation,…).
Maria Elena Rodríguez
I have a degree in Biology specializing in Genetics from the Complutense University of Madrid and I obtained a PhD in the field of biomedical research at the same University, a field in which I worked for several years. I joined this group attracted to programming bacteria for use as bioremediation agents.
I studied Computer Science at the University of Manchester before starting a PhD in Synthetic Biology. My PhD project looks at how synthetic gene networks can work with other biological networks that move electric charge. These systems are interesting because they can connect gene networks with electrical circuits to augment the capabilities of both. I use mathematical modeling and numerical analysis, as well as fundamental ideas from Computer Science, to predict how these systems behave, and what kinds of interesting dynamics can be engineered.
Computer scientist working jointly between UPM, Spain and Newcastle University, United Kingdom. My PhD project looks at the practical adoption of standards within synthetic biology using knowledge graphs (domain-specific graphs combining commonly generated but often disparate data types). The overall goals are to foster the adoption of standards by automating the data aspects of everyday tasks within synthetic biology workflows.
I hold a MSc. in Computer Science from Universidad de Buenos Aires (UBA), and a MSc. In Biomedical Engineering from Boston University (BU). Before joining the CBGP, I carried out research at the Laboratory on Foundations and Tools for Software Engineering (LaFHIS) [UBA] and at the Biological Design Center (BDC) [BU]. I love teaching and have held assistantship positions both in computer and bio science courses in UBA, BU, NYU and UPM. I am a fan of scientific dissemination and a supporter of open technologies.
Ana Anhel Valdés
I obtained my Biotechnology degree and a MSc in Computational Biology at the Technical University of Madrid (UPM). Besides that, I have done internships in both Centro Nacional de Biotecnología (CNB) and Centro de Biotecnología y Genómica de Plantas (CBGP). Nowadays, I enjoy a technician position at Angel Goñi’s lab being one of the responsables of the Opentrons Liquid Handling robot. My main interest is to use my biological and computational background in the Pharmacology and Omics fields combining experimental and computational approaches.