András Gilyén is a PhD student of Ronald de Wolf. He holds a master's degree from the University of Cambridge (UK), and an MSc in Mathematics from Eötvös University (Budapest, Hungary). András's research mostly focuses on quantum algorithms, related to optimization and combinatorial problems. He is particularly interested in applying smooth functions techniques coming from Hamiltonian simulation results, in order to speed up various quantum optimization procedures, and potentially machine learning applications.