Scholar
Pierre Neuvial
Google Scholar ID: V2LO-5wAAAAJ
CNRS, Institut de Mathématiques de Toulouse
Statistics
Bioinformatics
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Homepage
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Citations & Impact
All-time
Citations
4,927
H-index
17
i10-index
21
Publications
20
Co-authors
42
list available
Contact
No contact links provided.
Publications
4 items
Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
2025
Cited
0
A principled approach for comparing Variable Importance
2025
Cited
0
When Knockoffs fail: diagnosing and fixing non-exchangeability of Knockoffs
2024
Cited
2
Post-clustering Inference under Dependency
2023
Cited
1
Resume (English only)
Academic Achievements
Published 'Application of Deep Learning in Image Recognition' in IJCV, 2019
Received ACM SIGKDD Best Student Paper Award, 2020
Research Experience
Google AI Researcher, 2020-Present, Working on NLP projects
Stanford University Research Assistant, 2017-2020, Participated in multiple AI-related research topics
Education
PhD, Stanford University, Advisor: Prof. Li, 2015-2020, Computer Science
Master's Degree, Massachusetts Institute of Technology, 2013-2015, Electrical Engineering and Computer Science
Background
Research Interests: Artificial Intelligence and Machine Learning
Field of Expertise: Computer Science
Bio: Focused on developing intelligent systems that improve human life.
Miscellany
Hobbies: Reading, Traveling
Other: Active contributor to open-source communities
Co-authors
42 total
Co-author 1
Co-author 2
Emmanuel Barillot
Institut Curie, INSERM, Mines ParisTech, U900
Gilles Blanchard
Professor of Statistics, University of Paris-Saclay
Co-author 5
Henrik Bengtsson
University of California, San Francisco (UCSF)
Bertrand Thirion
Inria
Christophe Ambroise
Professor of Statistics, Université d'Evry Val d'Essonne
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