Nabil Alami

From Paris, France

to Abu Dhabi, UAE

Hello, I am Nabil Alami, a first-year PhD student at MBZUAI in Abu Dhabi, under the supervision of Professor Souhaib Ben Taieb.

My research focuses on the theory and applications of uncertainty quantification, especially conformal prediction. More generally, I work at the intersection of mathematics, machine learning, and statistics.

Before my PhD, I graduated from CentraleSupélec, Université Paris-Saclay, with a master’s degree in Mathematics and Data Science. I also hold a Magistère in Pure Mathematics from Université Paris-Saclay.

news

Jul 06, 2026	Happy to announce that our work integrating e-values in conformal prediction has been accepted at ICML 2026!
May 05, 2026	I will be in tangier, morocco, to present our workshop paper the Calibration for Modern AI at AISTATS 2026.
Jan 20, 2026	Our work on conformal aggregation got accepted at AAAI 2026!

selected publications

Set-Preserving Calibration from Conformal P-Values to E-Values

Nabil Alami, Jad Zakharia, and Souhaib Ben Taieb

In International Conference on Machine Learning, 2026

Bib HTML PDF Code

@inproceedings{alami2026set,
  title = {Set-Preserving Calibration from Conformal {P}-Values to {E}-Values},
  author = {Alami, Nabil and Zakharia, Jad and Ben Taieb, Souhaib},
  booktitle = {International Conference on Machine Learning},
  year = {2026},
}

Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets

Nabil Alami, Jad Zakharia, and Souhaib Ben Taieb

In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

Bib HTML PDF Code

@inproceedings{alami2026symmetric,
  title = {Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets},
  author = {Alami, Nabil and Zakharia, Jad and Ben Taieb, Souhaib},
  booktitle = {Proceedings of the {AAAI} Conference on Artificial Intelligence},
  year = {2026},
}