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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
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Splintering with distributions: A stochastic decoy scheme for private computation
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
Preprint (2020)
[paper]
Teaching
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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
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Over-squashing in Graph Neural Networks
Final blog post for MIT 6.S898: Deep Learning.
[post]
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Ramsey Theory
Final paper for MIT 18.204: Seminar in Discrete Mathematics.
[paper]