# 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 in designing ML methods that exploit symmetry in data.

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

Preprint (2020)

[paper]

## 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]

## 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]