I am a PhD candidate in the Department of Statistics at the University of California Berkeley working under the supervision of Fernando Pérez and Jonathan Taylor. Previourly finished my Bsc/Msc (Licenciatura) in Physics and Mathematics in the University of Buenos Aires🇦🇷.
- 🔭 I’m currently working on:
- 🧊 ODINN.jl: Global glacier model using Universal Differential Equations for climate-glacier interactions. Integrating the Julia differential programming tools with the Open Global Glacier Model (OGGM) in Python.
- 🌎 PolarWandering: Statistical modelling of Paleomagnetic data.
- 🌱 I’m currently learning about sensitivity methods for differential equations. Interested in participating? Check out our review paper and contribute to it!
- 👨🏫 I am interested in teaching machine learning for geophysisc and good practices fordeveloping open, reproducible and collaborative scientific software.
- Collaborative and Reproducible Data Science at UC Berkeley: Course given to undergraduate and graduate students.
- Machine Learning in Glaciology Workshop: Given in Finse, Norway, to students and researchers working in the intersection of cryospheric sciences 🧊 and machine learning 🤖.
- 👯 I’m looking to collaborate with people interested in the intersection between machine learning, geophysics and scientific computing.
- 📫 How to reach me: feel free to send me an email to
fsapienza@berkeley@edu. - 😄 Pronouns: He/Him
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