Sara Kangaslahti

I am a fourth year CS 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 methods for efficiently constructing and customizing new models using information from existing ones, informed by their structure and representations. I am also interested in the science of deep learning and how a better understanding of model behavior can inform model development.

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!