We will participate in an interesting event organized by Bioval and ATG Synbio…
Researchers
Full Professor
Catedrático de Universidad
Associate Professor
Profesor Titular de Universidad
Associate Professor
Profesor Titular de Universidad
Post-doctoral Researcher
Professor at Centro Universitario EDEM
Associate Professor
Profesor Titular de Universidad
PhD Students
PhD Student
Researcher at SB2CL-UPV
PhD Student
Researcher at SB2CL-UPV
PhD Student
Professor at UPS Cuenca, EC
PhD Student
SW Automation Test Coordinator Senior
Alumni
Técnico en fabricación de APIs at pbserum - Proteos Biotech
System Engineer at AVEVA
MSc. Student at UB
Postdoc at Mons University
Periodista de EL PAÍS — Jefe de sección
Senior Data Scientist
PhD Student at Università Cattolica del Sacro Cuore
PhD Student at Spanish National Center for Cardiovascular Research (CNIC) and Universidad Autónoma de Madrid (Spain)
Data Scientist en Feverup
VP Science & Technology Health & Wellness Human Nutrition en ADM
Data Manager Onco-hematología pediátrica at Vall d'Hebron Barcelona Hospital Campus
Técnico de Transferencia tecnológica at ITACA-UPV
Professor at FI-UNLP
About us
Welcome to the Synthetic Biology and Biosystems Control Lab (SB2CL) website. We focus our research on “applications of systems engineering and control to Complex Systems, Synthetic Biology, and Industrial Bioprocesses”. Our group is member of the Institute for Automatica and Industrial Informatics (ai2) at the Universitat Politècnica de València (Spain).
Our main interest are in:
- Integrated automation of the DBTL cycle to rapid design, construction and test of biosystems through protocols for optimal biofabrication,
- Dynamic regulation of gene expression for the control of variability in the production of Products of interest and the regulation of novel Pathways of complex chemicals,
- Metabolic Network’s analysis using possibilistic methods + network theory for Metabolic Flux Analysis & Flux Balance Analysis,
- Bioparts, Bio-products and Synthetic gene circuits characterization by Multi-objective optimisation-based tuning + Machine learning algorithms,
- Bioprocesses dynamic estimation and control through sliding-mode observers and non-linear controllers.
Latest News
If you are interested in how to improve biological design using the DBTL…
In this review we: Proposal of a synthetic biology-based modular design for bacterial…