Sepehr Elahi

Computer Science PhD Candidate at EPFL, Switzerland.

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I am a third-year Doctoral Assistant at the EDIC (Computer and Communication Sciences) department of EPFL. I am advised by Prof. Patrick Thiran of the INDY lab and Prof. Negar Kiyavash of the BAN group. I do research on causal inference & discovery, interventions on graphs and networks, and in general mathematical machine learning.

I graduated summa cum laude with two BSc in Electrical & Electronics Engineering and Mathematics at Bilkent University in June, 2022. I did research at Bilkent CYBORG with Prof. Cem Tekin from 2018 to 2022, where my research was focused on online decision making, contextual bandits, Gaussian processes, multi-objective optimization, and their applications to crowdsourcing/sensing, content recommendation, and item recommendation.

I have also worked on multiple projects and papers related to applications of ML and CV to other fields, including telecommunications, microfluidic droplets, and laser material processing. For a list of my publications, see my Google Scholar page.

Outside of work, I am an avid weightlifter and Ultimate Frisbee player at Lausanne FlyHigh, and in general love any outdoors/sports-related activity.

news

May 1, 2025 Our paper titled Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control was accepted at ICML 2025! See you in Vancouver 🇨🇦 (again).
Apr 16, 2025 Our paper, Recursive Causal Discovery, has been published in JMLR! Use our Python rcd package for your causal discovery needs.
Sep 26, 2024 Our paper on Fast Proxy Experiment Design for C-ID was accepted at NeurIPS 2024! See you in Vancouver 🇨🇦.
Jul 11, 2024 Presented Recursive Causal Discovery in Julia at JuliaCon 2024!