About Me
I am a PhD candidate at the University of Rochester with a specialization in clinical and diagnostic applications of AI, where my research operates at the intersection of artificial intelligence, medical imaging, and clinical decision-making. I am advised by Prof. Axel Wismüller and am a member of the Wismüller Lab (AI in Radiology Laboratory).
I’m driven by the potential of AI to transform disease diagnosis and prediction—enabling earlier, more accurate, and personalized care. My research focuses on developing reliable deep learning tools that utilize multimodal data, integrating medical imaging with clinical text and patient history to solve high-stakes challenges. I am particularly interested in how foundational models, including transformers and vision-language models, can be adapted for prognostication, diagnostic report generation, and immersive medical training. My work has been recognized with honors including the Best Scientific Poster Award at the SPIE Medical Imaging conference.
Previously, I graduated from Western University with an M.Eng. in Signal & Image Processing and from Fanshawe College with a Master's in Project Management. During my time there, I conducted research at the National Centre for Audiology, where I developed the core machine learning and software systems for an embedded patient simulator robot.
Please feel free to get in touch!