Andrea Cini
SNSF Postdoc Fellow at EPFL
Oxford, England, Switzerland
Summary
👤
Senior🎓
Top SchoolAndrea Cini is an SNSF-funded postdoctoral researcher specializing in machine learning for time series forecasting and graph processing, currently based at EPFL after recent appointments at Oxford and IDSIA. With nine years of experience spanning industry R&D and academic research, he blends deep technical expertise in graph deep learning with practical deployment insights from prior ML engineering roles. His PhD work focused on graph deep learning for time series, positioning him to tackle complex temporal-graph problems in domains such as predictive maintenance and sensor networks. Andrea’s trajectory—moving between top European labs and a stint in industry—suggests a pragmatic researcher who values both rigor and real-world impact. Unobvious but telling: he has repeatedly transitioned between research environments, indicating strong adaptability and an ability to rapidly integrate into new teams and projects.
9 years of coding experience
2 years of employment as a software developer
Master of Science, Computer Engineering, Master of Science, Computer Engineering at Politecnico di MilanoDoctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at USI Università della Svizzera italiana
English, Italian
Github Skills (10)
temporal-data10
gnn10
deep-learning9
pytorch9
deep-reinforcement-learning3
reinforcement-learning2
dqn2
forecasting1
graph1
time-series1
Programming languages (2)
Github contributions (5)
Graph-Machine-Learning-Group/sgp
Dec 2022 - Jan 2023
Contributions:5 commits in 1 month
GianpaoloBranca/SoftwareEng2
Oct 2016 - Nov 2017
Contributions:81 pushes in 1 year
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