I am a PhD student in computer science at Sorbonne Université under the supervision of Charles Assaad. My focus is on causal reasoning from graph abstractions and its application to epidemiology. For more information you can check my list of publications or directly download my CV.
The CIPHOD team is the causal inference team of iPLesp.
Identifying Macro Causal Effects in C-DMGs over DMGs
by Simon Ferreira and Charles K Assaad,
in Advances in Neural Information Processing Systems, 2025.
Identifying Macro Causal Effects in a C-DMG over ADMGs
by Simon Ferreira and Charles K Assaad,
in Transactions on Machine Learning Research, 2025.
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
by Simon Ferreira and Charles K Assaad,
in Proceedings of the AAAI Conference on Artificial Intelligence, 2025.
Identifiability of Direct Effects from Summary Causal Graphs
by Simon Ferreira and Charles K Assaad,
in Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
Case Studies of Causal Discovery from IT Monitoring Time Series
by Ali Aït-Bachir, Charles K Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Eric Gaussier, Hosein Mohanna and Lei Zan
in The History and Development of Search Methods for Causal Structure Workshop at the 39th Conference on Uncertainty in Artificial Intelligence, 2023.
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
by Simon Ferreira and Charles K Assaad.
Retrieving Classes of Causal Orders with Inconsistent Knowledge Bases
by Federico Baldo, Simon Ferreira and Charles K Assaad.
firstname[dot]lastname[at]sorbonne-universite[dot]fr
https://www.linkedin.com/in/simon-ferreira/
https://scholar.google.com/citations?hl=fr&user=HrW0FcAAAAAJ
Office 401, 4th floor, 27 rue Chaligny 75571 Paris Cedex 12