Mohammad Shahverdikondori

Mohammad Shahverdikondori is a Doctoral Assistant at the Chair of Business Analytics, part of the College of Management of Technology at École Polytechnique Fédérale de Lausanne (EPFL). Supervised by Prof. Negar Kiyavash, his work focuses on multi-armed bandit problems and causal inference.

• Bachelor's in Computer Science from Sharif University of Technology (2018-2023)

His research spans Machine Learning, Statistical Learning, and Business Analytics, with recent publications on causal discovery and video alignment methods. The QWO paper (2024) explores permutation-based causal discovery in linear Gaussian models, while his 2023 preprint introduces novel video alignment techniques.

As a staff member, Mohammad collaborates on academic research and contributes to the Business Analytics group. His work intersects Artificial Intelligence, Data Science, and Human Behavior Analysis, with applications in causal modeling and video processing.