Maksym Andriushchenko

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Short bio. I’m a fourth-year PhD student in computer science at EPFL 🇨🇭 advised by Nicolas Flammarion. I did my MSc at Saarland University and the University of Tübingen, and interned at Adobe Research. My research is supported by the Google and OpenPhil PhD Fellowships.

Research interests. My primary research goal is to understand generalization in deep learning. More specifically, I’m interested in the training dynamics of gradient methods (e.g., SGD with large step sizes, sharpness-aware minimization, fine-tuning language models), adversarial robustness (formal guarantees, square attack, fast adversarial training, RobustBench), and out-of-distribution generalization (curious ReLU properties, generalization to image corruptions and digital manipulations).

On Ukraine. Since I’m from Ukraine, I’m often asked about the situation in my country and how one can help. The most effective way is to donate to local Ukrainian organization helping on the ground, e.g., see this list which includes both trusted military and humanitarian organizations. You can also host displaced scholars and students from Ukraine, e.g., see the #ScienceForUkraine project where I’m involved as a volunteer. You can also help simply by spreading the word about the war and going to demonstrations in your city. It’s very important that we don’t normalize annexations of territories, numerous war crimes, mass deportations, and nuclear threats. Otherwise, we’ll end up in a world we don’t really want to be in.