Synthetic Biology and Biosystems Control Lab


Prof. Jesús Picó

Full Professor
Catedrático de Universidad

Dr. Jose Luis Navarro

Associate Professor
Profesor Titular de Universidad

Dr. Alejandro Vignoni

Associate Professor
Profesor Titular de Universidad

Dra. Yadira Boada

Post-doctoral Researcher
Professor at Centro Universitario EDEM

Dr. Enric Picó-Marco

Associate Professor
Profesor Titular de Universidad

PhD Students

Andrés Arboleda-García

PhD Student
Researcher at SB2CL-UPV

Harold Diaz-Iza

PhD Student
Researcher at SB2CL-UPV

Marcelo Flores Vázquez

PhD Student
Professor at UPS Cuenca, EC

Pavel Zach

PhD Student
SW Automation Test Coordinator Senior


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.

Synthetic Biology and iGEM Valencia 2018 - Printeria

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