I work at the intersection of AI and cardiovascular biomechanics, developing next-generation tools for medical image segmentation, vascular geometry synthesis, and fast, accurate flow modeling. My research pushes the boundaries of image-based CFD by integrating deep learning, generative models, and differentiable solvers to make cardiovascular analysis more robust, scalable, and clinically impactful. I also explore uncertainty quantification and AI-driven design applications. If you’re interested in similar topics, feel free to reach out—I’m always excited to brainstorm ideas, exchange methods, and spark new collaborations!