About me
Welcome to my homepage! Since fall 2020 I have been an Assistant Professor of Statistics and Machine Learning at Université de Technologie de Compiègne (UTC). I teach in the Computer Sciences Department (GI) and I do my research in the laboratory of Applied Mathematics (LMAC) of UTC. Here is my CV (en) and (fr).
News
- Dec. 2024. Paper Bounds in Wasserstein Distance for Locally Stationary Processes. Submitted.
Nov. 2024. Paper Gaussian-Smoothed Sliced Probability Divergences. Transactions on Machine Learning Research.
Jun. 2024. Job offer: PhD candidate position Robust Deep Learning Anomaly Detection: Application to Intrusion Detection for Electric Vehicle Charging Points(Position filled)
Bio
From Jan. 2019 to Aug. 2020, I was a postdoctoral researcher in the LITIS laboratory working with Professors Maxime Bérar, Gilles Gasso and Alain Rakotomamonjy. I was involved in the OATMIL Project, which aims at bridging optimal transport and machine learning.
In 2017-2018 academic year, I was a laureate of the Postdoctoral Fellowship Program DIM Math Innov Région Ile-de-France. I was hosted in the Modal’X laboratory of University Paris Nanterre working with Professor Olga Klopp on collective matrix completion project.
I received my PhD in Statistical Machine Learning from University Pierre and Marie Curie on June 27th, 2016 under the supervision of Professors Stéphane Gaïffas and Agathe Guilloux. My doctoral thesis is centered around studying supervised learning in high-dimensional settings using weighted total-variation penalization.
Assistant Professor
- LMAC Laboratory
- Université de Technologie de Compiègne
Research Interests
- Statistical Machine Learning Theory & Applications
- Machine Learning using Optimal Transport
- High-dimensional Statistics
- Matrix Completion
- Data Science
alayaelm@utc.fr
Phone
- Tel : (+33) 3 44 23 44 74
Office
- Bâtiment Plaise Pascal
- Département Génie Informatique (GI)
- Bureau GI 133
- 57 avenue de Landshut
- Compiègne Cedex, 60203 France
