I'm an AI researcher focused on understanding and improving AI/ML systems. I completed both my undergrad and MEng at MIT, where my work at CSAIL centered on data attribution—understanding how training data influences model behavior. I've worked across diverse modalities: clinical applications for improved patient outcomes, autonomous coding agents, pose estimation + tracking, and more. At Sphinx, I leverage this experience to advance our agent's reasoning capabilities and push the boundaries of what's possible in AI-powered data science.
