Felipe Tobar

Education

Current

Senior Lecturer in Machine Learning. Department of Mathematics & I-X, Imperial College London
Associate Professor. Initiative for Data & AI, Universidad de Chile (part time, since 10/2024)
Associate Researcher. Advanced Center for Electrical and Electronic Eng. (since 3/2020)

Previous

Associate Professor. Initiative for Data & AI, Universidad de Chile (full time, 6/2021 - 9/2024)
Director, Initiative for Data and Artificial Intelligence (5/2022 - 9/2024)
Associate Researcher. Center for Mathematical Modeling (8/2015 - 9/2024)
Assistant Professor. Department of Mathematical Engineering, Universidad de Chile (10/2018 - 6/2020)
Research Associate. Machine Learning Group, University of Cambridge (8/2014 - 8/2015)
Coordinator, Master of Data Science. Universidad de Chile (3/2020 - 4/2021)
Visiting Scientist at IRIT (Jan-Feb 2022)

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”.
Google Award for Inclusion Research (2023) Data Science at the service of gender equality in STEM education: A case study at Universidad de Chile’s School of Engineering
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*