As a Machine Learning Researcher (Ph.D.) working at the intersection of AI and Medical Imaging, I’m driven by a deep curiosity and a commitment to translating cutting-edge research into real-world healthcare impact. My work focuses on developing intelligent systems for cancer diagnosis, multi-modality imaging, and treatment planning—areas where innovation can significantly improve patient outcomes.
I thrive on solving complex problems and continuously seek opportunities to grow both technically and creatively. From designing data-efficient models to exploring interpretability in clinical AI, I enjoy pushing the boundaries of what’s possible in machine learning and computer vision. My Ph.D. journey has been both a challenge and a privilege, offering me the chance to collaborate with experts and contribute to technologies that make a difference.
Outside of research, I find creative energy through travel, photography, and music. Whether capturing life through a camera lens or getting lost in the rhythm of guitar and piano, I value moments that offer perspective and recharge the mind. I believe the best innovations come from a well-rounded life—and I bring that philosophy into everything I do.