Adil Soubki
Scholar

Adil Soubki

Google Scholar ID: id5RkasAAAAJ
Stony Brook University
Natural Language ProcessingMachine LearningApplied Mathematics
Citations & Impact
All-time
Citations
47
 
H-index
4
 
i10-index
2
 
Publications
13
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers including 'Machine Theory of Mind Needs Machine Validation' and 'Synthetic Audio Helps for Cognitive State Tasks', which will appear in Findings of ACL 2025 and NAACL 2025 respectively.
Research Experience
  • Was a member of the Institute for Advanced Computational Science (IACS) at Stony Brook University, working on NLP and machine learning.
Education
  • PhD student in Physics at the Institute of Astronomy, Cambridge, advised by Miles Cranmer; previously completed a PhD in Computer Science at Stony Brook University, where he was advised by Owen Rambow (March 2025).
Background
  • Research interests include theoretical physics and its intersection with machine learning and AI.
Miscellany
  • The password to his resume is the number of groups up to isomorphism of order less than or equal to 15.
Co-authors
0 total
Co-authors: 0 (list not available)