Areas of Focus
Technical topics I work on regularly, reflecting my current experience and ongoing interests.
Medical AI
Interest in developing methods that assist clinical decision-making and support patient care. Experience working with both 2D and 3D medical imaging data.
Applied R&D
Work focused on translating research ideas into practical systems, including deployment, monitoring, and continuous improvement of models in production environments.
Visual Computing
Exploration of how models understand visual information, with attention to 3D structures and geometric representations.
My Approach
The values I try to follow when building machine learning systems.
Reliability
Focus on transparent evaluation to build models that remain stable, interpretable, and suitable for use in sensitive environments.
Data-Centric
Emphasis on structured and well-curated data to support reliable evaluation and consistent generalization across settings.
Collaboration
Work in coordination with domain experts to ensure that technical solutions remain aligned with real-world needs and constraints.
Let's connect.
I'm always happy to talk about research, exchange ideas on AI, or discuss potential ways to work together.