Harry is a researcher at the FutureTech Lab at MIT. His current research interests center on developing efficient Generative AI models while comprehending the economic and social impact of AI innovations. His research domains include Generative AI, Efficient Learning Methods, and AI Innovation.
Harry earned his Bachelor's degree in Statistics and Data Science from University of California, Santa Barbara. Before joining MIT, he was a Machine Learning and Data Science expert at Ipsos. While in the industry, he also collaborated with researchers at Yale's Department of Computer Science and Internal Medicine to develop novel Graph Neural Network architectures.