Research Interests

My research focuses on reliable AI systems that can model complex and uncertain data. I am broadly interested in probabilistic machine learning, generative models, and multimodal representation learning.

• Probabilistic machine learning & Bayesian analysis: Variational inference, hierarchical models, matrix factorization, and uncertainty-aware modeling.
• Generative models: Diffusion-based models, auto-regressive models, and efficient adaptation for downstream tasks.
• Multimodal representation learning: Vision-language models, multimodal large language models, and domain alignment.

Please refer to Publications for recent work from our group.