My complete CV can be found here

Education

• Ph.D. in signal processing, Imperial College London (2010-2014)
• M.Sc in control systems, Universidad de Chile (2008-2010)
• Exchange MSc student, University of British Columbia (2008)
• B.Sc in electrical engineering, Universidad de Chile (2003-2007)

Employment

Principal affiliations

• Associate Professor in Machine Learning. Dept. of Mathematics, Imperial College London (from 10/2024)
• Associate Professor. Initiative for Data & AI, Universidad de Chile (6/2021 - 9/2024)
• Assistant Professor. Dept. of Mathematical Engineering, Universidad de Chile (10/2018 - 5/2021)
• ANID-CMM Research Fellow. Universidad de Chile (9/2015 - 9/2018)
• Research Associate. Machine Learning Group, University of Cambridge (8/2014 - 8/2015)

Secondary Affiliations

• Researcher. Center for Electrical and Electronic Engineering, Universidad Santa María (3/2020 – 10/2024)
• Researcher. Center for Mathematical Modeling, Universidad de Chile (10/2018 – 10/2024)

Management

• Director. Initiative for Data and AI, Universidad de Chile (5/2022 – 9/2024)
• Coordinator. Master of Data Science, Universidad de Chile (3/2020 – 4/2021)
• Co-Lead. Data Science unit, Center for Mathematical Modeling (2018 – 2020)

Research visits

• Dept. of Statistics, University of Oxford (18/11/2022 – 28/11/2022)
• Signal and Comms. Group, Institut de Recherche en Informatique de Toulouse (1/1/2022 – 1/3/2022)
• Dept. of Electrical and Computer Engineering, Stony Brook University (9/7/2017 – 24/7/2017)

Grants (as PI only)

• Google Award for Inclusion Research (2023-2024) Data Science at the service of gender equality in STEM education: A case study at Universidad de Chile’s School of Engineering
• Google’s AI for Social Good (2023) A Machine Learning Approach to better understand and protect Marine Mammals in Latin America and the Caribbean: the case of the manatee”.
• ANID Fondecyt Regular (2021-2025). Advances on generative models for statistical machine learning: theory and practice
• Google Latin American Research Award (2022). EEG Seizure Detectors: Towards Generalization & Interpretability
• Google Latin American Research Award (2021). Detection of neonatal seizures from EEG: A continual & multi-channel approach
• ANID Fondecyt Iniciación (2017-2020). On the relationship between Gaussian process regression and spectral estimation
• ANID-PAI Apoyo al Retorno (2016-2017). Machine learning meets signal processing: multivariate adaptive estimation
• ANID Becas Chile (2010-2014), PhD at Imperial College. Kernel methods for signal processing*