My research focuses on making deep learning more practical: new methods of learning from a small number of labeled examples, data distillation, learning from continues streams of information, and reducing the size of trained model via compression and architecture search. Other research directions are protecting privacy of personal data, including biometric data, adversarial attacks, and application of deep learning in protein biology, chemistry and physics.