Sepehr Elahi
Computer Science PhD Candidate at EPFL, Switzerland
I am a fourth-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. My research focuses on causality, graph learning and interventions, parameterized algorithms, and, more broadly, mathematical machine learning.
I graduated summa cum laude with two BSc degrees 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 used to play Ultimate Frisbee at Lausanne FlyHigh.
news
| Apr 13, 2026 | Joining Apple Research in Cambridge, as an ML Research Intern starting late April 2026 . |
|---|---|
| Mar 19, 2026 | Presenting Zeroth-Order Stackelberg Control in Combinatorial Congestion Games at CPAL 2026 in Tuebingen 🇩🇪. |
| Oct 1, 2025 | Presented Data-Driven Learning of Contact Networks for Targeted Vaccination in Outbreaks at The Pandemic Institute Scientific Meeting 2025 in Liverpool 🇬🇧. |
| May 1, 2025 | Our paper on Structure Learning and Vaccination for Epidemic 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 🇨🇦. |