Scholar
Gabriel Moryoussef
Google Scholar ID: kUQryMEAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
71
H-index
4
i10-index
2
Publications
4
Co-authors
0
Publications
Resume
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.