Luca Bottero

I am an undergraduate physics student at the University of Turin. I have a strong interest in many aspects of physics, ranging from theoretical physics to HEP and cosmology. Currently I am doing my undergraduate thesis about the study of the properties of the hypertriton nuclei with ALICE's data using machine learning techniques. Meanwhile, I am one of the co-founder of MLJC, a student association that focuses on ML research and know-how sharing. My interest are mainly on scientific ML, NLP & NLU, and the theoretical aspects of ML. One of my strongest motivation is to help accelerating pure sciences using ML approaches. I participated in the ProjectX 2020 competition held by the University of Toronto in the UniTo team.

Talks:

13:30 UTC

Physics-Informed ML Simulator for Wildfire Propagation

07/29/2021, 1:30 PM1:40 PM UTC
Green

The aim of this work is to evaluate the feasibility of re-implementing some key parts of the widely used Weather Research and Forecasting WRF-SFIRE simulator by replacing its core differential equations numerical solvers with state-of-the-art physics-informed machine learning techniques to solve ODEs and PDEs implemented in Julia, in order to transform it into a real-time simulator for wildfire spread prediction.

Platinum sponsors

Julia Computing

Gold sponsors

Relational AI

Silver sponsors

Invenia LabsConningPumas AIQuEra Computing Inc.King Abdullah University of Science and TechnologyDataChef.coJeffrey Sarnoff

Media partners

Packt Publication

Fiscal Sponsor

NumFOCUS