I'm a PhD student investigating how machine learning can be leveraged in MRI, with a focus on hyperpolarized ¹³C imaging. My research focuses on analyzing complex, imaging data into meaningful insights about metabolism and physiology. I'm motivated by the challenge of bridging physics, machine learning, and medicine to advance non-invasive diagnostic techniques.