I am an Applied Scientist at Amazon in New York City, working on foundational sequence models in a team led by Gert Lanckriet. I completed my PhD in the Computer Science Department at ETH Zürich, where I was advised by Fanny Yang and was part of the Institute for Machine Learning. During my PhD, I was also a visiting graduate student at Harvard University, hosted by Issa Dahabreh in the CAUSALab, with the support of the Ermenegildo Zegna Founder's Scholarship.
News
- Jul ’26 — I successfully defended my PhD thesis at ETH Zürich, with Jonas Peters, Issa Dahabreh, and Christina Heinze-Deml serving on my committee.
- Dec ’25 — I moderated a panel discussion with AI and causal inference experts, including Nathan Kallus and Mihaela van der Schaar, at our NeurIPS 2025 workshop.
- Aug ’25 — Our paper Robust integration of external control data in randomized trials has been accepted for publication in Biometrics and further distinguished as a Discussion paper, an honor extended to roughly 3% of accepted articles.
- Jul ’25 — Our workshop CauScien: Uncovering Causality in Science has been accepted at NeurIPS!
- May ’25 — I have been invited to present our paper Efficient Randomized Experiments Using Foundation Models at the American Statistical Association Covariate Adjustment Group, which brings together statisticians from academia and pharma. Slides · Talk