Julie Kallini

About Julie Kallini

I am a Computer Science Ph.D. student at Stanford University, where I am a member of the Natural Language Processing Group. I am grateful to be advised by Chris Potts and Dan Jurafsky. My Ph.D. is generously supported by a National Science Foundation Graduate Research Fellowship, a Stanford School of Engineering Graduate Fellowship, and a Stanford EDGE Fellowship.Previously, I worked for nearly two years as a software engineer at Meta, where I used machine learning and content understanding techniques for privacy problems in advertisements.Before joining Meta, I graduated summa cum laude from Princeton University with a B.S.E. in Computer Science and a minor in Linguistics. I was fortunate to conduct NLP and computational linguistics research under the guidance of Christiane Fellbaum. My senior thesis, which explored the language phenomenon of coordination, won the Outstanding Senior Thesis Prize. I also received the Phillip Goldman ’86 Senior Prize, the CS department’s top academic honor.In my spare time, I teach Applied Machine Learning as an instructor for Uplimit.

Experience

1. Instructor, Applied Machine Learning

   Uplimit

   Aug 2022 — Present

   Guide students through weekly project sessions, office hours, and one-on-one mentoring. Students learn to design models for classification and regression in Python (Numpy, Scikit, Pyplot).

Education

• Princeton University

  Bachelor of Science in Engineering, Computer Science

• Saint Joseph High School

  High School Diploma

• Stanford University

  Doctor of Philosophy - PhD, Computer Science

  2023 — 2028