Raphaël Pellegrin
Scholar

Raphaël Pellegrin

Google Scholar ID: w-2WD0MAAAAJ
Harvard University
OptimizationComputational SciencesNetwork ScienceMachine LearningGeometric Deep Learning
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Citations & Impact
All-time
Citations
24
 
H-index
1
 
i10-index
1
 
Publications
2
 
Co-authors
0
 
Contact
Emailraphaelpellegrin@g.harvard.eduTwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
2 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Current research is in machine learning (PINNs, geometric deep learning). Erdős number is 4 and Einstein number is 6.
Background
  • A Quantitative Researcher in Computational Science and Engineering, working at QLS Advisors, a firm dedicated to improving outcomes for healthcare investors and patients. Research interests include differential geometry, computational algebra, and graph theory.
Miscellany
  • Previous experiences in software engineering, teaching, and research.
Co-authors
0 total
Co-authors: 0 (list not available)