I am a second year PhD student in Computer Science at Harvard University where I am fortunate to be advised by Yaron Singer.
My research lies within the scopes of Machine Learning and Robust Optimization. Specifically, I am intrigued by a wide spectrum of problems such as Adversarial Examples, Generalization of Neural Networks, Influence Maximization in Social Networks, the connection between Robustness and Interpretability and others. More details about my work can be found below. Recently, together with some fellow Machine Learning enthusiasts we started the Harvard Theory of Machine Learning group.
Before the PhD, I worked as Algorithm Developer for the self-driving car firm Mobileye from 2017-2018. Even before that, I did my undergrad in the Hebrew University of Jerusalem in Mathematics and Computer Science, graduating as valedictorian in 2017.
Email: galkaplun (at) g.harvard.edu