My name is Facundo Sapienza, born in Argentina. I’m a PhD student in the Statistics Departent at UC Berkeley, currently supported by the Berkeley Fellowship.
Since I was little I’ve been attracted to science but it’s not the only thing that fascinates me. I love to travel, to get to know other cultures and soak them in, their costumes and gastronomy. I enjoy visiting museums, reading, and interacting with people who can help me grow and show me new perspectives in life.
I hope you enjoy my research and hobbies, let’s be in touch!
Education
University of California, Berkeley
PhD Student in Statistics
2019 – Now
2012 – 2018
University of Buenos AiresBSc/MSc in Physics (Licenciatura en Física)
2012 – 2017
Publications
Heat engines with single-shot deterministic work extraction
F. Cerisola, F. Sapienza, A. Roncaglia
arXiv preprint arXiv:2008.03026
Efficient adjustment sets in causal graphical models with hidden variables
E. Smucler, F. Sapienza, A. Rotnitzky
arXiv preprint arXiv:2004.10521
Nonhomogeneous Euclidean first-passage percolation and distance learning
P. Groisman, M. Jonckheere, F. Sapienza
arXiv preprint arXiv:1810.09398.
Correlations as a resource in quantum thermodinamics
F. Sapienza, F. Cerisola, A. Roncaglia
Nature Communications, 2019.
Weighted Geodesic Distance Following Fermat’s Principle
F. Sapienza, P. Groisman, M. Jonckheere
6th International Conference on Learning Representations (ICLR), 2018.
Anhysteretic remanent magnetization: model of grain size distribution of spherical magnetite grains
C. Vasquez, F. Sapienza, A. Somacal, S. Fazzito
Studia Geophysica et Geodaetica, 2018.
BSc/MSc Theses
Fermat distance and Euclidean percolation: theory and applications in Machine Learning
Supervisor: Dr. Pablo Groisman
Universidad de Buenos Aires, Argentina, 2018.
Resource Theory of Quantum Thermodynamics: correlations in the process of formation of resources
Supervisor: Dr. Augusto Roncaglia
Universidad de Buenos Aires, Argentina, 2017.
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