Bio
I am a CNRS post-Doctoral researcher at IGE/MEOM lab, where I am developing use cases for machine learning for computational and observation oceanography. My research has primarily applied machine learning in applications such as remote sensing, climate models, and observational oceanography. I usually work with large-scale spatial-temporal model simulations, reanalysis products or satellite observations with coordinate, grid-based or functional representations. I have an algorithmic background in manifold learning, kernel methods and information-theoretic measures. I specialize in (and typically apply) probabilistic models like Gaussian processes and generative models like Normalizing Flows, VAEs and Diffusion models.
I see myself as a facilitator (a.k.a. Machine Learning Research Engineer): I like to create conceptual frameworks to consolidate research into easy-to-understand ideas, and I would like to build software tools to help others accomplish their goals. I also consider myself a Machine Learning Advocate: I like being the liaison between ML and the applied sciences. My future endeavours are to continuously improve upon my ML engineering skills and start to get a grasp on the MLOPs field, and advocate modern ML practices in the geoscience setting.
This website will host a list of my current and past projects, talks, conferences, and publications.
For more information regarding my projects, code tutorials and research notes, please go to my research journal.
Education
Ph.D. in Electrical Engineering | Feb 2017 - June 2021
Universitat de Valéncia, València | Valencia, Spain
Thesis: Estimating Information in Earth System Data with Machine Learning
M.S. in Applied and Computational Mathematics | Aug 2013 - Dec 2016
Rochester Institute of Technology | Rochester, NY, USA
Thesis: Schrödinger Eigenmaps for Manifold Alignment of Multimodal Hyperspectral Images
B.S. in Oceanography, B.S. in Mathematical Sciences | Aug 2009 - May 2013
Florida Institute of Technology | Melbourne, FL, USA
Experience
PostDoctoral Researcher | Sept 2021 - Now
MEOM | IGE | CNRS | University of Grenoble-Alpes | Grenoble, France
Machine Learning Researcher | Jun 2021 - Aug 2021
Trillium Technologies | Remote
Machine Learning Researcher | Jan 2021 - Mar 2021
Trillium Technologies | Remote
Machine Learning Researcher | Jun 2020 - Aug 2020
Trillium Technologies | Remote
Image Science Intern | Jun 2016 - Dec 2016
UTC Aerospace Systems | Westford, Massachusetts, USA
Desktop Support Field Technician | Sept 2011 - Apr 2013
Florida Institue of Technology | Melbourne, Florida, USA
Video Production Assistant | Oct 2009 - Jan 2011
Florida Institute of Technology | Melbourne, Florda, USA
