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Aymeric Stamm

  • Ph.D.
  • Research Engineer - Expert in Statistical Information
  • Laboratoire de Mathematiques Jean Leray
  • 6h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 184CitationsNumber of citations received by Aymeric's publications. Updated daily.

Recent publications

  • A personalized mathematical tool for neuro-oncology : a clinical case study

    • Agosti A
    • Giverso C
    • Faggiano E
    • et al.
    N/AReaders
    N/ACitations
  • Hotelling's T$^2$ in separable Hilbert spaces

    • Pini A
    • Stamm A
    • Vantini S
    N/AReaders
    N/ACitations
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Professional experience

Research Engineer - Expert in Statistical Information

Jean Leray Mathematics Laboratory

January 2019 - Present

Research Fellow (BCH), Research Associate (HMS)

Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School

August 2013 - Present

Post-doctoral fellow

Istituto Italiano di Tecnologia

January 2018 - December 2018(a year)

Post-Doctoral Fellow

Polytechnic of Milan Department of Mathematics

September 2015 - December 2017(2 years)

Research Assistant

INRIA Rennes

April 2013 - June 2013(2 months)

Engineer in Statistics - Biostatistician

University Hospital of Rennes, Dept. of Epidemiology and Public Health

November 2012 - March 2013(4 months)

Teaching Assistant of Prof. Gilles Moisan (Head of GEA Dept.)

University of Rennes 1 - Saint Malo Institute of Technology

September 2009 - August 2012(3 years)

Education

Ph.D. in Computer Science, Curriculum: Statistical Modeling for Diffusion MRI

University of Rennes 1, IRISA

November 2009 - November 2013(4 years)

B.Sc. in Engineering

Ecole Centrale de Lyon

September 2005 - November 2009(4 years)

M.Sc. in Mathematical Engineering, Curriculum: Major in Statistics

Politecnico di Milano

September 2007 - October 2009(2 years)

About

I am currently a research engineer at the Mathematic Department Jean Leray, a joint CNRS and Nantes University laboratory, France. I am also a research fellow at the Computational Radiology Laboratory (CRL) affiliated to the Department of Radiology of Boston Children’s Hospital and Harvard Medical School, MA, USA. I am an experienced statistician with focus on (i) the development of novel statistical methodologies for complex image analysis, with extensive but not exclusive application to magnetic resonance imaging of the brain and (ii) the extension of traditional statistical methods (estimation, classification, regression) to the analysis of complex data (functions, Hilbertian, tensors, networks, densities, ...). I am also a research engineer with particular interest in making methods and algorithms developed in research labs available for use by a broader audience of applied fields. I am the author of several R packages available from my Github page (https://github.com/astamm). I was awarded a B.Sc. degree in mathematical engineering from Ecole Centrale de Lyon (France) and a M.Sc. degree in mathematical engineering with major in statistics from Politecnico di Milano (Italy). During the course of my M.Sc., I collaborated with Dept. of Mathematics “F. Brioschi” (MOX) of the Politecnico di Milano and became co-investigator of the 2-year “Pn project” (2009-2010), whose objectives were to enable statistical inference from high-dimensional data. After my M.Sc., I obtained a Ph.D. degree in computer science. My Ph.D. focused on the development and application of statistical models for the study of the brain white matter microstructure and connectivity. During my first post-doctoral appointment at Harvard Medical School, I developed a statistical framework for MR image reconstruction that guarantees unbiasedness of the resulting composite complex MR image. I then joined again the Department of Mathematics of Politecnico di Milano where I pursued the development of novel statistical methodologies for complex image analysis and developed inferential tools for populations of densities and networks. Simultaneously, I have been collaborating with the Dept. of Neuroradiology of the University Hospital of Rennes (France), since the beginning of my Ph.D., and with Dept. of Radiology of BCH (USA), since the beginning of my first post-doctoral appointment, to provide guidance on designing experiments and reviewing interim data, and to advise PIs of most of the Dept. projects on all statistical analysis methods and model development required in their projects. During my Ph.D., I also worked as a biostatistician at the Dept. of Epidemiology and Public Health of the University Hospital of Rennes (France) where I was in charge of the statistical analyses of several health-related projects (e.g., multiple sclerosis, practice of oral care in palliative care units).

Co-authors (75)