Modelamiento Matemático; Biología de Sistemas; Fisiología Cuantitativa; Monitoreo Fisiológico

MENTORING EXPERIENCE
2020-present: M.Sc. Thesis advisor for Diego de la Vega, UC.
2020-present: PhD. Thesis advisor for Rayen Valdivia, UC.
2020-present: PhD. Thesis advisor for Carlos Valle, UC.
2019-present: PhD. Thesis advisor for Javiera Cortés, UC.
2019-present PhD. Thesis advisor for Martín Miranda, UC.
2019-present: PhD. Thesis advisor for Gabriela Vargas, UC.
2019-present: M.Sc. Thesis advisor for Axel Sepúlveda, UC.
2018-2019: M.Sc. Thesis advisor for Alexis Suárez Pinto, Research topic: "Predicting chronotype from non-invasive physiological signals", UC
2017-2019: M.Sc. Thesis advisor for Maria Emilia Fresard Petit, Research topic: "Multiobjective optimization of Machine Learning models for personalized prediction of survival and thrombosis in patients with ovarian cancer", UC

THESIS COMMITTEES
Aug 2016: M.Sc. Thesis committee: Francisco Saitua, “Dynamic Genome-Scale Metabolic Modeling of the Yeast Pichia Pastoris”, Advisor: Eduardo Agosín, UC.
Jan 2017: M.Sc. Thesis committee: Rodrigo González, “Detection, Estimation and Prediction of Ingests for Predictive Control of Artificial Pancreas Systems in Patients with T1DM”, Advisor: Aldo Cipriano, UC.
Feb 2017: M.Sc. Thesis committee: Kritsye Leiva, “Kinetic Modeling for the Optimization of ?eta-Ionone Production in S. Cerevisiae”, Advisor: Eduardo Agosín, UC.
June 2017: PhD. Thesis committee: Pierre Chelle, “Towards a Patient-Specific Definition of the Antihemophilic Factor Target Rate from Thrombin Generation: Contribution of Experimental Approaches and Dynamic Models of the Coagulation Cascade”, Advisor: Michel Cournil, Ecole des Mines de Saint-Etienne, France.
October 2017 PhD. Thesis committee: Henry Humberto León Ariza, “Development of a mathematical model to establish the physiological relationship between inflammation and the autonomic nervous system”, Advisor: Daniel Alfonso Botero Rosas, Universidad de La Sabana, Colombia.
October 2017 M.Sc. Thesis committee: Francisco Matías Pinto Chávez, “Construcción de un modelo dinámico basado en interacciones metabólicas entre especies del microbioma intestinal”, Advisor: Daniel Garrido Cortés, UC.
May 2020 PhD. Thesis committee: Rodrigo Santibáñez. “Development of rule-based models for regulatory mechanisms of gene expression and bacterial metabolism”, Advisor: Daniel Garrido Cortés, UC.

2017-Teaching "Physiological Monitoring in the IoT Era" in the Diploma "Internet of Things and the Industry 4.0", Pontificia Universidad Católica de Chile, Santiago, Chile (UC).

Journal reviewer: Bioinformatics, Bioprocess and Biosystems Engineering, BMC Systems Biology, Cells, Communications in Nonlinear Science and Numerical Simulation, Computers & Chemical Engineering, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IET Systems Biology, Industrial & Engineering Chemistry Research, Reliability Engineering & System Safety, PLoS Computational Biology, Statistics and Computing, Water Research, Physical Biology, Journal of Biological Rhythms.

CONICYT reviewer for FONDEF, FONDECYT and FONDEQUIP grants.

Jan 2019-Dec 2020: Member of the “Engineering 2” Fondecyt study group.
Jan 2021-Present: Director of the “Engineering 2” Fondecyt study group.