Julia Balla
I am a second-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. My research is funded by the NDSEG Fellowship.
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
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]
Miscellaneous 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]