Projects

Remote detection of village burnings in Darfur
As part of the project Hack4Good (ETH) we helped Human Rights Watch developing a software to detect and monitor active fires in Darfur, Sudan
Remote detection of village burnings in Darfur
Meta-learning richer priors for VAEs
In my MSc thesis I worked at the interface between VAEs and meta-learning with the aim of find better and richer priors.
Meta-learning richer priors for VAEs
Deep Learning for Gravitational Wave Physics
As a research assistant I built deep learning models to emulate complex cosmological simulations and to constrain the formation of binary black holes.
Deep Learning for Gravitational Wave Physics
Vital signs and disease progression
As part of Introduction to Machine Learning we developed a deep learning model to forecast vital signs and disease progression for hospitalized patients.
Vital signs and disease progression
Optimal time window in time series
As part of a semester research project I developed a mathematical framework to identify the optimal time window to aggregate time series into static networks.
Optimal time window in time series
Bipartite Quantum Systems
As part of a semester research project I studied how to obtain an exponential reduction of complexity for simulating bipartite quantum systems coupled to a bosonic mode.
Bipartite Quantum Systems
ML for di-tau mass reconstruction in ATLAS
With the help of a Boosted Regression Tree and a Neural Network I reconstructed the mass of the Higgs boson from its decay into tau leptons.
ML for di-tau mass reconstruction in ATLAS