Arnak Dalalyan

Arnak Dalalyan is a Full Professor of Statistics at ENSAE Paris and Director of CREST (Center for Research in Economics and Statistics). He leads the graduate program in Statistics and Machine Learning and previously held positions at Tokyo University, École Polytechnique (part-time), and Humboldt University of Berlin. His research spans high-dimensional statistics, machine learning, and stochastic processes.

Education:

• Habilitation in Statistics, Université Paris 6 (2007)
• Ph.D. in Mathematical Statistics, Université du Maine (2001)
• DEA in Stochastic Processes, Université Paris VI (1999)
• Maitrise in Mathematics, Université du Maine (1998)
• Licence in Mathematics, Université de Erevan (1997)

Research: Dalalyan focuses on nonparametric statistics, high-dimensional inference, diffusion processes, and machine learning theory. He coordinates ANR projects CALLISTO (multi-view stereo vision) and PARCIMONY (sparsity-based estimators). His work bridges statistical theory with applications in computer vision and data science.

Awards:

• NIPS Best Reviewer (2013, 2019)
• AI-STATS Notable Paper Award (2013)
• Bronze Medal, International Mathematical Olympiad (1994)
• Doctoral Scholarship, Pays de la Loire (1999-2002)

Academic Service: He advises 18+ PhD/Master's students and serves as Associate Editor for Annals of Statistics, Bernoulli, and other journals. He organizes conferences like 'Advances in Statistics for Random Processes' and participates in COLT/NIPS program committees.

Affiliations: Directs CREST lab and the Data Science center at Université Paris-Saclay.