About me
Research Scientist Snap Research
I am a Research Scientist on the User Modeling and Personalization team at Snap Research, where I work on LLM adaptation and efficient training for generative recommendation. I earned my Ph.D. in Computer Science and Engineering at the University of Michigan, Ann Arbor in April 2026, advised by Danai Koutra. My doctoral research was supported by an NSF Graduate Research Fellowship and a Rackham Merit Fellowship.
03 / Mentorship
Supporting other researchers
As a first-generation college student, I am deeply grateful for the guidance I have received throughout my academic and professional career, and I aim to pay this forward by supporting students from similar backgrounds. I served as a peer mentor for first-generation undergraduate students throughout my graduate studies, and while at Lawrence Livermore National Laboratory, I helped organize and mentor a two-week machine learning challenge focused on teaching students how to conduct applied research.
At Snap, I advise research interns working on generative recommendation, conversational recommendation, and graph foundation models. Please feel free to reach out if you’d ever like to chat.
Let’s connect LinkedIn