Pontificia Universidad Católica de Chile Pontificia Universidad Católica de Chile

PEDRO SAA

Profesor Asistente

Especialidad: Modelling of metabolic systems, Bioprocess optimization, Systems biotechnology, Applied machine learning and data analysis

Departamento de Ingeniería Química y Bioprocesos

pnsaa@uc.cl
2 2354 9674

Líneas de Investigación

Computational Systems Biotechnology
Bioprocess and Biosystems Optimization
Statistical learning

Publicaciones

Mendoza, S.N., Saa, P.A., Teusink, B., Agosin, E. (2022). Metabolic Modeling of Wine Fermentation at Genome Scale. In: Cortassa, S., Aon, M.A. (eds) Computational Systems Biology in Medicine and Biotechnology. Methods in Molecular Biology, vol 2399. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1831-8_16 (2022)
Computational Systems Biology in Medicine and Biotechnology 395–454
Torres, P., Saa, P.A., Albiol, J., Ferrer, P., Agosin, E., Contextualizedgenome-scale model unveils high-order metabolic effects of the specific growth rate and oxygenationlevel in recombinant Pichia pastoris, Metabolic Engineering Communications (2019), doi: https://doi.org/10.1016/j.mec.2019.e00103. (2019)
Metabolic Engineering Communications e00103

Biografía

Pedro Saa received his B.Sc. in Biological Engineering and his M.Eng.Sc. in Chemical and Bioprocess Engineering, both with maximum distinction, from the School of Engineering at the Pontifical Catholic University of Chile (PUC) in 2012. He was awarded the prizes for Best Master’s Thesis and Best Postgraduate Student in the department. From 2012 to 2013, he worked as a project engineer at Fraunhofer Chile Research’s Center of Systems Biotechnology and as a research scientist at the PUC’s Laboratory of Biotechnology. In 2013, he received the BECAS-CHILE and International Postgraduate Research scholarships to pursue a Ph.D. at the University of Queensland in Australia. In 2017, he received a Ph.D. in Systems Biology. In 2018, he was appointed Assistant Professor in the Department of Chemical and Bioprocess Engineering at PUC. From 2021, he holds also an appointment in the Institute for Mathematical and Computational Engineering at PUC as an Assistant Professor. Prof. Saa has been actively involved in developing novel mathematical frameworks to better understand cellular metabolism and biological systems. These frameworks have a wide range of applications, from metabolic engineering to personalized medicine. Since 2021, he is an Associate Investigator of the National Center for Artificial Intelligence (CENIA).

Educación

  • Ingeniero Civil de Biotecnología, Pontificia Universidad Católica de Chile
  • Magister en Ciencias de la Ingeniería, Pontificia Universidad Católica de Chile
  • Ph.D. en Biología de Sistemas, The University of Queensland

Premios y Distinciones

– Premio de Reconocimiento a la Excelencia Docente 2025, PUC.
– Premio Excelencia en Docencia 2023, Escuela de Ingeniería, PUC.
– Premio a la Innovación 2021, Escuela de Ingeniería, PUC.
– Metabolic Engineering XII Junior Researcher Grant 2018 (apoyo presentación investigación en ME-12, Munich).
– Premio Excelencia a la Docencia Profesores Jornada Parcial 2018, PUC.
– International Postgraduate Research Scholarship 2013, Australian Goverment (PhD).
– Beca de Doctorado Programa BECAS-CHILE 2013, Conicyt, Gobierno de Chile.

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