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.