About Me
I am a PhD candidate at Northeastern University’s Khoury College of Computer Sciences. I work on machine learning, deep learning, and generative AI for games.
My research combines traditional constraint-based models with modern machine learning techniques. Constraint-based models are reliable and guarantee playable outputs, while machine learning approaches are fast and scalable. By combining both, I build hybrid systems that generate diverse, high-quality game levels efficiently.
I also run quantitative and qualitative user studies and use statistical analysis to understand how players perceive AI-generated content. These studies help me design generative systems that match player expectations.
Portfolio
Interactive documents showcasing my research in machine learning, data analysis and games
Publications
Experiences
- hybrid generative systems combining constraint-based models and deep learning for game level generation
- Designed and conducted quantitative and qualitative user studies
- CS 3540 Game Programming * 3
- CS 5340 Human Computer Interaction
- CS3520 Programming in C++ * 3
- CS5800 Algorithms
- Node.js, Nest.js, TypeScript
- PostgreSQL, Jest.js
- Azure DevOps, Agile Development
- CE 3102213 Algorithm Design course