Sara Kangaslahti

I am a third year PhD candidate in the ML foundations group at Harvard University advised by David Alvarez-Melis. I am thankful to be supported by an NSF Graduate Research Fellowship. My research focuses on principled data-centric approaches for adapting and understanding LLMs. Recently, I have been working on finding ways to compress and connect models across scales and tasks.

Previously, I completed my Bachelor’s in Computer Science at Caltech, where I worked with Anima Anandkumar and R. Michael Alvarez on scalable tensor-based topic modeling methods.

My email is sarakangaslahti (at) g (dot) harvard (dot) edu. Please feel free to reach out to discuss research!