My professional experience.
12/2022 - Present: Ikerbasque Research Fellow
Machine learning @ Basque Center for Applied Mathematics
Probabilistic Machine Learning: methodology and applications.
10/2024 - 11/2024: Visiting Scholar
Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard.
Cambridge, Massachusets, USA.
Fundamentals and applications of probabilistic machine learning and dynamical systems.
Learning dynamics from partial and noisy observations via data-driven and mechanistic models
12/2022 - Present: La Caixa Foundation Junior Leader Incoming
Machine learning @ Basque Center for Applied Mathematics
Statistical machine learning for real-life time-varying phenomena, collected via not-at-random measurement processes.
04/2018 - 01/2023: Associate Research Scientist
Applied Math @ Columbia University
Descriptive, predictive, and prescriptive modeling, theory and applications.
09/2016 - 04/2018: Postdoctoral Research Scientist
@ Columbia University
Phenotyping of electronic health records and self-tracking healthcare data.
08/2011 - 09/2016: Ph.D. in Electrical Engineering
@ Stony Brook University
Sequential Monte Carlo methods for inference and prediction of latent time-series.
07/2009 - 07/2011: Researcher
@ Tecnalia
Human mobility analysis and pattern extraction; Complex network analysis.
01/2009 - 07/2009: Telecommunication Engineer
@ Traintic S.L
I2V & V2V networking on railways; On-board Ethernet based railway networking.
08/2007 - 06/2008: Research Assistant
@ Colorado School of Mines
WSN networking and distributed systems.
