Hello World,
I am Riccardo, an enthusiastic researcher at
Causal
Learning and Artificial Intelligence Lab advised by
Francesco Locatello
(ISTA).
Through my research, I aim to revisit general representation learning objectives
when interested in causal downstream tasks (e.g., Treatment Effect Estimation)
in order to (i) improve experiments' efficiency, and (ii) provide trustworthy
guarantees to AI-powered scientific discovery.
Currently testing several applications in experimental ecology, and even more
interested in applications in healthcare.
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
Presenting Smoke and Mirrors in Causal Downstream Tasks at NeurIPS'24 (Vancouver).
Presenting Unifying Causal Representation Learning with the Invariance Principle at NeurIPS'24-Workshop (Vancouver).
Running Florence Marathon in 2h42m35s. Looking for new challenges!
Starting Ph.D. in Causal Learning and AI group at ISTA (Vienna).
Selected in Nova 111 Student List among the 10 most promising Italian Computer Scientists Under25.