Dr. Sebastian Ramon Sosa Carrillo

Dr. Sebastian Ramon Sosa Carrillo

Staff of Professorship for Computational Systems Biology

ETH Zürich

Comput. Systems Biology, Stelling

BSS H 26

Klingelbergstrasse 48

4056 Basel

Switzerland

Additional information

Additional information

Sebastián started his career by obtaining a bachelor’s degree in biotechnology at the University of Valencia, in Spain. Driven by his interest in how quantitative and computational approaches can synergize with the understanding and engineering of biological systems, he specialized in systems and synthetic biology at the Center for Interdisciplinary Research (CRI, currently Learning Planet Institut) and completed his PhD at the Institut Pasteur in 2021 in Paris, France, under the direction of Prof. Gregory Batt. His work on experimental automation and real-time control of cell systems to optimize the secretion of proteins of biotechnological interest set the stage for his future research.

After earning his PhD, he conducted postdoctoral research at the University of Basel in Switzerland, within the team of Mattia Zampieri. Interested in expanding his knowledge in cellular physiology, metabolism, and the analysis of big data sets, he developed a generic approach to discover antimicrobial small molecules with unconventional modes of action using non-targeted metabolomics in the context of high-throughput screenings. Following this postdoctoral experience, he joined the Computational Systems Biology group at the Department of Biosystems Science and Engineering of ETH, led by Jörg Stelling. There, he continues his research in systems and synthetic biology, focusing on implementing advances in research automation technologies and assuming a lab head role.

Sebastián's research interests focus on bridging the gap between theoretical and experimental biologists by advancing laboratory technologies and leveraging common infrastructures. His goal is to develop technologies that provide more time for experimental biologists to do theoretical work and greater experimental autonomy for theorists. He is developing strain engineering approaches aimed at automating the design, construction and characterization of cell systems.

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