I'm a second-year PhD student in the machine learning department at CMU, advised by Zico Kolter. Before grad school I worked at Spotify for two years, and before that I majored in computer science at Princeton.Google Scholar
Email spam is known to be a big problem in 2019, so like other academics I obfuscate my email address.
My email address is firstname.lastname@example.org
Blurb: Extending recent work, we show how to turn any classifier that classifies well under Gaussian noise into a new classifier that is provably robust to perturbations in L2 norm. This method is the only provable adversarial defense that scales to ImageNet. It also outperforms all other provable L2 adversarial defenses on CIFAR-10 by a wide margin. Best of all, the method is extremely simple to implement and to understand.