Zachary Huemann

As a PhD student in Physics at the University of Wisconsin-Madison, my academic and research journey reflects a deep-seated interest in blending the realms of computer science and physics to tackle pressing healthcare challenges through AI. My enthusiasm for data science has directed my research towards the innovative use of computer vision and natural language processing to build advanced multimodal models, specifically for the diagnosis of lymphoma in PET/CT scans. My interests have led me to explore the cutting-edge intersection of AI technologies in healthcare. I am particularly drawn to the potential of AI in improving diagnostic accuracy and efficiency. My work is fueled by a curiosity to push the boundaries of what’s possible in AI, aiming to develop solutions that are not only academically significant but also have a tangible impact on patient care. This passion for innovation in healthcare technology is further evidenced by my commitment to continuous learning and application of my skills in diverse settings, from academic research to industry internships at GE Healthcare and Johns Hopkins University Applied Physics Laboratory.