People
I don't run a lab, but I have been grateful to work and continue working with incredible people and mentors. These are some of them.
Ching-Yao Lai
Yao leads the Stanford Icy Physics Group where I have been a postdoc since September 2024. With Yao we are interested in the intersection of machine learning and geophysics. We are particularly excited about applications in glaciology, differentiable modeling, and inverse problems, and looking forward to how AI can positively impact the physical sciences.
Fernando Pérez
Fernando was my primary doctoral advisor in Statistcs at UC Berkeley. Since 2019 we had been working together in machine learning methods to model ice flow. With Fernando I had learned a lot about software and computing in modern science, emphatazing in core principles of open science, collaboration, and reproducibility. We also tought and developed together the contents of STAT159-Collaborative and Reproducible Data Science.
Jonathan Taylor
Jonathan was my doctoral co-advisor in Statistics at UC Berkeley. We had been working together thinking in application of statisical methods to data-related problems in the cryosphere. We are currently working together in sampling methods for probabilistic models that trade-off optimization and sampling strategies.
Pablo Groisman
Patu was my Master co-advisor in Math at the University of Buenos Aires and one of my first instructors during college. We spent a lot of time working together in problems related to Euclidean percolation theory to prove consistency results of the Fermat distance. With Patu, I not just leant a lot about probability theory, but also the joy of proving results and spending hours discussing math in the whiteboard.
Matthieu Jonckheere
Matt was my co-advisor in the Math program in the University of Buenos Aires and also my supervisor in Aristas, where I worked as a data scientist for more than 3 years. Matt was the first person to introduce me to machine learning and mathematical problems related to it, and later we starter working in the Fermat distance. We enjoyed working on machine learning methods applied to solve some of the real-world problems we where facing with our clients in Aristas.
Augusto Roncaglia
Augusto was my master advisor in Physics at the University of Buenos Aires. We worked together in Quantum Thermodynamics, where we proved results related to the microscopical behaviour of quantum systems in contanct with thermal reservoirs and their thermodynamical limit. Quantum is a beutiful theory, and I was luckily to explore it with Augusto.
Leonardo Boechi
Leo was my supervisor in Aristas and, if well he was never my official advisor, he was a mentor during my time at the Univerisity of Buenos Aires. Leo taught me about the importance (and joy) of doing science, specially when this is surrounded by people you like. He is still today a source of inspiration in my current endeavours.