Resume
Academic Achievements
- - Publications:
- - "Diffusion Models Through a Global Lens: Are They Culturally Inclusive?" accepted to ACL 2025 Main Conference
- - "Revisiting Random Walks for Learning on Graphs" accepted to ICLR 2025 as Spotlight Presentation
- - "Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance" accepted to NeurIPS 2023 as Spotlight Presentation
- - Awards:
- - Dean's List for Fall 2024 semester
- - Dean's List for Spring 2024 semester
- - KAIST Alumni Fellowship (awarded to only 7 undergraduate students)
Research Experience
- - Work Experience: Working with Prof. Stefanie Jegelka at TUM
- - Research Projects: Involved in research areas such as Geometric Deep Learning, Generative Modeling, GFNs, and DRL
- - Positions: Led the Azerbaijan team in International Olympiads (IPhO, EuPhO)
Education
- - Degree: Bachelor of Computer Science & Electrical Engineering
- - School: KAIST
- - Time: Ongoing
- - Advisor: Prof. Stefanie Jegelka (during exchange at TUM)
Background
- - Research Interests: Geometric Deep Learning, Generative Modeling, Generative Flow Networks (GFNs), Deep Reinforcement Learning (DRL)
- - Professional Field: Computer Science & Electrical Engineering
- - Brief Introduction: A final-year Bachelor's student at KAIST, currently more aligned towards Latent Reasoning models.
Miscellany
- - Personal Interests: Solving challenging Physics problems and teaching others
- - Internship: Mercari Inc., Japan