Scholar
Sepehr Elahi
Google Scholar ID: yEB2dVEAAAAJ
PhD Candidate in Computer and Communication Sciences at EPFL
Citations & Impact
Citations
83
H-index
5
i10-index
3
Publications
15
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'Structure Learning and Vaccination for Epidemic Control' accepted at ICML 2025; paper 'Recursive Causal Discovery' published in JMLR and released Python rcd package; paper 'Fast Proxy Experiment Design for C-ID' accepted at NeurIPS 2024; presented 'Recursive Causal Discovery in Julia' at JuliaCon 2024; presented 'Data-Driven Learning of Contact Networks for Targeted Vaccination in Outbreaks' at The Pandemic Institute Scientific Meeting 2025.
Research Experience
- Conducted research at Bilkent CYBORG from 2018 to 2022, focusing on online decision making, contextual bandits, Gaussian processes, multi-objective optimization, and their applications to crowdsourcing/sensing, content recommendation, and item recommendation. 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.
Education
- Graduated summa cum laude from Bilkent University in June 2022 with a double BSc in Electrical & Electronics Engineering and Mathematics. Currently, a fourth-year Doctoral Assistant at the EDIC (Computer and Communication Sciences) department of EPFL, advised by Prof. Patrick Thiran of the INDY lab and Prof. Negar Kiyavash of the BAN group.
Background
- Computer Science PhD Candidate with research interests in causal inference & discovery, learning of and interventions on graphs, and mathematical machine learning.
Miscellany
- Avid weightlifter and Ultimate Frisbee player at Lausanne FlyHigh, loves any outdoors/sports-related activity.
Co-authors