Research Map
An interactive map of the research areas I’ve explored and how they connect. Each node represents a topic, sized proportionally to its label, and edges show intellectual bridges between areas.
Interact: Click a node to see related publications, hover to highlight connections, drag to rearrange, scroll to zoom.
Research DNA
An interactive map of my research interests and their connections
Research Timeline
Current Focus (2025-Present) Vision-language models and semantic segmentation at Google DeepMind — exploring how to leverage large language models for computer vision tasks without traditional pixel decoders.
Active Research (2023-2025) Safety and fairness in generative models: unlearning in GANs and debiasing diffusion models. Making AI systems more controllable and fair.
Past Work (2017-2023) Foundations in energy-based models, domain generalization, few-shot learning, and signal processing. Each area contributed insights that inform current research.
Interested in a specific area? Check out my publications or detailed timeline for more context.