Hi there! I am Sina, a Post-doctoral fellow at the statistical laboratory, University of Cambridge, where I am advised by Qingyuan Zhao. Previously, I received a PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), where I was supervised by Negar Kiyavash, chair of Business Analytics.
My research primarily focuses on causal inference, with a broad interest in statistics and machine learning.
News
[Jan 2026] I am starting as a postdoctoral fellow at the University of Cambridge!
[Oct 2025] 🎉 I received my PhD degree in CS from EPFL.
[Sep 2025] A new manuscript is out! ‘Semiparametric Triple Difference Estimators’
[Jul 2025] Presented two papers at UAI2025, Rio de Jeniro.
[Sep 2024] Our paper ‘Optimal Experiment Design for Causal Effect Identification’ just got accepted to appear in Journal of Machine Learning Research (JMLR) special issue for ICML&NeurIPS outstanding papers.
[Sep 2024] Our paper ‘Fast Proxy Experiment Design for Causal Effect Identification’ got accepted to NeurIPS 2024.
[Jul 2024] I presented my Spotlight paper on the ‘Triple Changes Estimator’, a generalisation of the changes-in-changes framework, at ICML 2024, Vienna.
[Jul 2024] The scripts for automating workflows related to OpenReview conferences are now accessible on my GitHub repo.
[Jul 2024] The UAI 2024 conference was a blast! Happy to be a part of the organising committee.
[Feb 2024] I am giving an invited talk at the structure learning symposium of SIAM conference on Uncertainty Quantification (UQ24).