Piersilvio De Bartolomeis
I am a PhD student in the Computer Science Department at ETH Zürich, advised by Fanny Yang. I was previously an Applied Scientist Intern at Amazon Science in Seattle, where I worked on machine learning and experimentation to select the best product offers for customers. Before that, I was a visiting graduate student at Harvard University, hosted by Issa Dahabreh in the CAUSALab.
I am broadly interested in the foundations of causality and its healthcare applications. Currently, I am working on improving the efficiency of randomized experiments by integrating foundation models trained on external data sources.
news
| Aug 29, 2025 | Our paper titled Robust integration of external control data in randomized trials has been accepted for publication in Biometrics. It has also been selected for a Discussion, where invited experts will provide their perspectives on our work. |
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| Jul 4, 2025 | Our workshop CauScien: Uncovering Causality in Science has been accepted at NeurIPS 2025! |
| May 9, 2025 | I have been invited to present our paper Efficient Randomized Experiments Using Foundation Models at the American Statistical Association Covariate Adjustment Working Group, which brings together statisticians from both academia and pharma companies. The slides can be found here. |