Hi, you've tumbled upon my page. I am Sina, a PhD candidate in Computer Science at École Polytechnique Fédérale de Lausanne (EPFL). I am advised by Negar Kiyavash, chair of Business Analytics. Previously, I received my double-major BSc. in Electrical Engineering and Computer Science in 2019.

My research primarily focuses on causal inference, with a broad interest in statistics and machine learning.

News

[Sep 2024] 🎉 Our paper ‘Experimental 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! Excited to see you in Vancouver!

[Jul 2024] I presented my Spotlight paper on the ‘Triple Changes Estimator’, a generalization 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 organizing committee.

[Feb 2024] I am giving an invited talk at the structure learning symposium of SIAM conference on Uncertainty Quantification (UQ24).