# Julia Balla

I am a first-year PhD student at MIT EECS co-advised by Professors Tess Smidt and Tommi Jaakkola. I am broadly interested in AI for scientific discovery and the interplay between symmetry and machine learning.

Previously, I completed my M.S. in Computer Science at the University of Oxford as a DeepMind scholar and my B.S. in Mathematics with Computer Science at MIT.

## Publications and preprints

### Splintering with distributions: A stochastic decoy scheme for private computation

Praneeth Vepakomma, Julia Balla, Ramesh Raskar

arXiv:2007.02719 (2020)

[arXiv]

## Teaching

### C14311: Minecraft Fires, Social Networks, and Quantum Complexity

I co-taught a class on graph theory and complex systems science to high schoolers at MIT Splash

[slides]

## Course projects

### Over-squashing in Graph Neural Networks

Final blog post for MIT 6.S898: Deep Learning

[post]

### Ramsey Theory

Final paper for MIT 18.204: Seminar in Discrete Mathematics

[paper]