Eric Moulines
Eric Moulines studies statistical learning, Monte Carlo methods and stochastic algorithms. His career connects speech and signal research to probabilistic inference and data science. Moulines was a professor at Télécom Paris from 1996 to 2015. His research covers latent dynamic models, theoretical inference and sequential Monte Carlo methods. He moved to École Polytechnique in September 2015, where he developed statistics and data-science teaching. He gradually shifted his research toward computational statistics during the mid-2000s. He works on Monte Carlo sampling, stochastic optimization, generative models and predictive uncertainty.
- Now at
- École Polytechnique
- Works
- 751
- Citations
- 24,408
- h-index
- 67
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
1996–2015
Statistics and signal processing
Moulines was a professor at Télécom Paris from 1996 to 2015. His research covers latent dynamic models, theoretical inference and sequential Monte Carlo methods.
-
2015
Joining École Polytechnique
He moved to École Polytechnique in September 2015, where he developed statistics and data-science teaching. He gradually shifted his research toward computational statistics during the mid-2000s.
-
As of December 2025
High-dimensional inference
Moulines works on Monte Carlo sampling, stochastic optimization, generative models and predictive uncertainty.
Sources and credits
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