Giannis Daras
Scholar

Giannis Daras

Google Scholar ID: LaScvbQAAAAJ
MIT
Generative ModelsInverse Problems
Citations & Impact
All-time
Citations
2,304
 
H-index
17
 
i10-index
19
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Nominated as a 'Rising Star in AI' by the University of Michigan, will give a talk at the 2025 Michigan AI Symposium; Two papers, 'Ambient Omni' and 'Ambient Proteins', accepted as spotlights to NeurIPS 2025; Best Contribution Award at the International Biomedical and Astronomical Signal Processing (BASP) Frontiers Conference 2025; Interned at NVIDIA Research (2023) and Google Research (2022).
Research Experience
  • Current Post-doc at MIT CSAIL, working with Prof. Costis Daskalakis and Prof. Antonio Torralba. Former teaching assistant at the University of Texas at Austin for an advanced machine learning course.
Education
  • PhD: University of Texas at Austin, Advisor: Alexandros Dimakis; Undergraduate: National Technical University of Athens, Department of Electrical and Computer Engineering.
Background
  • Research Interests: Theoretical and practical questions around deep generative models, especially developing principled algorithms for training and sampling in the presence of data corruption. Professional Field: Computer Science and Artificial Intelligence. Brief Introduction: Currently a post-doc at MIT CSAIL, looking for tenure-track faculty positions.
Miscellany
  • Personal interests not mentioned.