Fahim Tajwar
Scholar

Fahim Tajwar

Google Scholar ID: iMlmLO4AAAAJ
PhD Student, Machine Learning, Carnegie Mellon University
Machine Learning
Citations & Impact
All-time
Citations
576
 
H-index
8
 
i10-index
7
 
Publications
15
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Published multiple conference papers in top-tier conferences such as NeurIPS, ICML, and ICLR. Preprint: 'Can Large Reasoning Models Self-Train?' (2025). Journal publications in TMLR and PNAS.
Research Experience
  • Worked with Prof. Percy Liang, Prof. Stefano Ermon, and Prof. Stephen Luby during his time at Stanford.
Education
  • BS (Mathematics) from Stanford University (2022), MS (Computer Science) from Stanford University (2023), supervised by Prof. Chelsea Finn; PhD student at the Machine Learning Department of Carnegie Mellon University, co-advised by Prof. Ruslan Salakhutdinov and Prof. Jeff Schneider.
Background
  • PhD student in Machine Learning, with research interests including reasoning models, reinforcement learning, and deep learning.
Miscellany
  • Contact: Email, CV, Google Scholar, Github, LinkedIn