About

I am a researcher and software engineer working at the intersection of artificial intelligence, computer vision, medical imaging, and engineering software systems. My goal is to develop AI methods that are both scientifically meaningful and practically deployable.

My work combines two complementary directions. The first is research in visual AI, particularly in medical imaging, explainability, segmentation, localization, and temporal vision problems. The second is applied software development, where I build engineering tools and intelligent platforms for real-world use cases such as research-oriented simulation and analysis systems.

I am especially drawn to research questions that sit between disciplines: where physics-based reasoning, visual learning, uncertainty estimation, and system design come together. I believe some of the most valuable AI systems will emerge not from isolated models, but from careful integration of domain knowledge, trustworthy evaluation, and strong engineering.

My current interests include:

In the long term, I aim to build a strong research profile through publications, open-source tools, and impactful interdisciplinary projects, while contributing to both academia and research-driven product development.

Research Vision

My broader vision is to contribute to AI systems that are:

I am particularly interested in research that can evolve into long-term platforms, open tools, and collaborations across academia and industry.

Open To