Research Map

Explore the interconnected landscape of my research areas. This interactive map shows how different topics in my work relate to each other, spanning from my early work in signal processing to current focus on vision-language models.

How to interact:

  • Drag nodes to rearrange the graph
  • Hover over research areas to highlight connections
  • Zoom with mouse wheel, Pan by dragging the background

Research DNA

An interactive map of my research interests and their connections

Current Focus
Active Research
Past Work

Research Timeline

đŸ”” Current Focus (2025-Present)

Working on 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)

Investigating safety and fairness in generative models, including unlearning in GANs and debiasing diffusion models. Focus on making AI systems more controllable and fair.

âšȘ Past Work (2017-2023)

Built foundations in energy-based models, domain generalization, few-shot learning, and signal processing. Each area contributed unique insights that inform current research.

Collaboration Network

My research collaborators and co-authors

Me
Frequent Collaborator (5+ papers)
Regular Collaborator (2-4 papers)
Occasional Collaborator (1 paper)

📚 Interested in a specific area? Check out my publications or detailed timeline for more context.