Hello World,
I am Riccardo, an enthusiastic researcher at
Causal
Learning and Artificial Intelligence Lab advised by
Francesco Locatello
(ISTA) and co-advised by
Cordelia Schmid
(Google Research).
Through my research, I aim to scale (Causal) Representation Learning
to real-world applications to (i) shed new light on some of the most
important open challenges in Artificial Intelligence --i.e.,
Robustness, Transferability, and Fairness-- and (ii) directly
answer to causal downstream tasks on unstructured data with positive
and direct impact on public health.
I have previously conducted research on Causal Machine Learning at
Harvard University
(2022-2023) and EPFL
(2020-2022), worked as a Machine Learning Engineer in 3 different
internships (2 in industry, 1 in academia), and failed
postponed to launch my own start-up on Responsible AI (2023).
This is my personal website where you can go through my publications and accomplished projects publicly available. Enjoy your reading, and do not hesitate to reach out for any constructive discussion.
News
[New]Smoke and Mirrors in Causal Downstream Tasks accepeted at NeurIPS'24 (Vancouver).
[New] Unifying Causal Representation Learning with the Invariance Principle released on arXiv.
Presenting Smoke and Mirrors in Causal Downstream Tasks at AI4Science Workshop at ICML'24 (Vienna).
Starting Ph.D. at Causal Learning and AI Lab at ISTA (Vienna).
Founder in Residence at Entrepreneur First (Paris).
Selected in Nova 111 Student List among the 10 most promising Italian Computer Scientists Under25.