PhD student in AI and Robotics Lincoln Centre for Autonomous Systems (L-CAS) University of Lincoln (UK)
Research Interests: Causality · Human-Robot Interaction · Causal Robotics
NEWS
CausalFlow - a new Python framework featuring various causal discovery methods for time-series data. It includes our F-PCMCI and CAnDOIT algorithms.
CAnDOIT - a new Python library for causal discovery from observational and interventional time-series data. Check out our paper published in Advanced Intelligent Systems.
ROS-Causal - a ROS-based causal analysis framework for Human-Robot Interaction applications. Take a look at our paper presented at RO-MAN2024.
I had the opportunity to give a lecture on Causal Discovery in the Artificial Intelligence course of the Computer Science program at the University of Padua. Take a look at the slides.
F-PCMCI - a new Python library for fast and accurate causal discovery. Paper published at CLeaR2023 and available here.
I attended the Advanced Course on AI (ACAI2021) in Berlin.
CausalFlow - a new Python framework featuring various causal discovery methods for time-series data. It includes our F-PCMCI and CAnDOIT algorithms. 
CAnDOIT - a new Python library for causal discovery from observational and interventional time-series data. Check out our paper published in Advanced Intelligent Systems. 
ROS-Causal - a ROS-based causal analysis framework for Human-Robot Interaction applications. Take a look at our paper presented at RO-MAN2024. 
F-PCMCI - a new Python library for fast and accurate causal discovery. Paper published at CLeaR2023 and available here.