Hello World,
I am Riccardo, an enthusiastic researcher (Ph.D.) at
Causal
Learning and Artificial Intelligence Lab at ISTA led by
Francesco Locatello and
and co-supervised by Cordelia Schmid
as a member of ELLIS program (previously Harvard and EPFL).
Through my research, I aim to bring Causal Inference into the modern
Machine Learning era—scaling experiment size, measurement complexity, and hypothesis
exploration, when limited by analysis bottlenecks.
I actively collaborate with biologists, neuroscientists, public health and economic development experts to
translate my foundational, methodological, and applied contributions
into concrete scientific workflows.
This is my personal website where you can browse my publications and accomplished projects publicly available. Enjoy your reading, and do not hesitate to reach out for any constructive discussion.
Selected News
Fully committed to translating AI×Causal Inference research into new scientific discoveries.
From Tokens to Policy: Causal and Interpretable Heterogeneous Treatment Effects Identification Spotlight (~top2%) at Mechanistic Interpretability Workshop at ICML'26 (Seoul).
Exploratory Causal Inference in SAEnce Oral (~top1%) at ICLR'26 (Rio de Janeiro).
Running Florence Marathon in 2h42m35s. Looking for new challenges!
Selected in Nova 111 Student List among the 10 most promising Italian Computer Scientists Under25.