Tahseen Rabbani

I am a graduating CS PhD Candidate advised by Dr. Furong Huang. My research interests generally encompass model compression, training efficiency, distributed learning, and privacy. Recently, my work has been focused on extreme multi-label datasets and generative watermarking. In the past, I have worked on topics in numerical linear algebra and tensor methods. After graduation (May 2024), I am beginning a postdoctoral position at Yale University's LiGHT lab under Dr. Mary-Anne Hartley. 

Before hopping across the street to the computer science department I was in the math department. My interests there centered around combinatorial group theory and error-correction. I am also engaged as a researcher for Error Corp on quantum error correction and adjunct as a calculus lecturer at Georgetown University. I like to focus my work on emerging topics and enjoy discussing the future and regulation of AI. I am always seeking collaborators -- please reach out.