I am Riccardo, a Visiting Graduate Student and Research Assistant at Harvard University conducting research in Causal Inference and Machine Learning, while concluding my M.Sc. in Data Science at EPFL. My aim is to combine the strengths and potentials of both these fields to shed new light on some of the most important open challenges in Artificial Intelligence -- i.e. Robustness, Transferability, and Fairness -- with high and direct impact on medical applications and, more generally, Public Health. Among these challenges, I am currently focusing on Interpretable Inference of Heterogeneous Treatment Effects and corresponding studies on the causal effect of air pollution on our health.
This is my personal website where you can practically read about my research interests and background through my past experiences and accomplished projects. Enjoy your reading and do not hesitate to contact me for any discussion.
[NEW] Volunteering at NeurIPS 2022.
[NEW] Running AACR Philadelphia Marathon in 2h53m26s. Looking for new challenges!
[NEW] Research Assistant at Harvard University.
Release Causal Rule Ensamble package on CRAN.
Visiting Graduate Student at Harvard University (Causal Inference for Machine Learning project).
Attending Mediterrean Machine Learning Summer School (M2L) 2022 in remote.
Attending Neurosymbolic Programming Summer School 2022 at Caltech.
Attending IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2022 in New Orleans (1 paper presented).