Experience
2022–present
PhD Researcher & Teaching Assistant
Università della Svizzera Italiana (USI) / IDSIA · Lugano, Switzerland
- Focusing on deep learning for time series forecasting and spatiotemporal data.
- Initially explored deep learning for applications in precision agriculture.
2026–2026
Visiting PhD Student
University of Oxford · Oxford, United Kingdom
- 6-month visiting research stay at Machine Learning Research Group (MLRG), hosted by Prof. Xiaowen Dong.
2020–2022
Research Assistant
Università della Svizzera Italiana (USI) / IDSIA · Lugano, Switzerland
- Developed deep learning algorithms for automatic pest insect monitoring.
2018–2020
Data Scientist & Software Engineer
Bottega 52 · Milan, Italy
- Worked as backend software engineer for data-streaming application and as data scientist for applications in recommendation systems.
Education
2022–expected 2026
PhD in Informatics
Università della Svizzera italiana (USI) · Lugano, Switzerland
Advisor: Prof. Cesare Alippi. GMLG Research Group at IDSIA. Focusing on deep learning for time series forecasting and spatiotemporal data.
2016–2019
Master's Degree in Computer Science and Engineering
Politecnico di Milano · Milan, Italy
Focused on machine learning, artificial intelligence, and software engineering.
2016–2013
Bachelor's Degree in Computer Science
Politecnico di Milano · Milan, Italy
Core computer science, algorithms, software engineering, and mathematical foundations.
Teaching & Mentorship
Thesis Mentorship
Co-supervised several Master, Bachelor, and High School students on graduation thesis projects in deep learning.
Edge Computing in the IoT
Machine Learning
Academic Service
Peer Reviewer
Awards & Presentations
Doctoral Mobility Grant (2026)
University grant funding a 6-month research visit to the University of Oxford.
Expert Reviewer (2025-2026)
Award granted to distinguished peer reviewers by TMLR.
Gold Reviewer (2026)
Award granted to the top reviewers by ICML.
TMLR Journal-to-Conference Track for LoG (2024)
Poster presentation of research published in Transactions on Machine Learning Research (TMLR) at the LoG Conference.