Gabriel Moryoussef
Scholar

Gabriel Moryoussef

Google Scholar ID: kUQryMEAAAAJ
Carnegie Mellon University
Machine LearningNatural Language ProcessingTopological Data AnalysisStatistics
Citations & Impact
All-time
Citations
71
 
H-index
4
 
i10-index
2
 
Publications
4
 
Co-authors
0
 
Publications
1 items
Resume (English only)
Research Experience
  • Currently a PhD student in Statistics at Carnegie Mellon University, focusing on developing new statistical and machine learning methods for complex data such as texts and shapes.
Background
  • Research interests include Statistical Theory, Machine Learning, Topological Data Analysis, and Natural Language Processing. Prior to starting his PhD, he received a Master's from École Normale Supérieure and a Master's from the University of Oxford, where he was interested in studying how persistent homology could be used to help understand knotted proteins.
Miscellany
  • Always interested in collaborating on new projects, feel free to reach out if you are interested in similar research topics.
Co-authors
0 total
Co-authors: 0 (list not available)