Iordanis Kerenidis (PCQC - CNRS) received his PhD in computer science from the University of California, Berkeley, in 2004. After a two-year postdoctoral position at the Massachusetts Institute of Technology, he joined the Centre National de Recherche Scientifique in Paris as a permanent researcher.

He has been the coordinator of a number of French and EU-funded projects including: Marie Curie International Reintegration grant, ANR (French National Research Agency) Young Researcher grant, ERC Starting grant, and ANR Quantum Technologies grant. His research has been published in more than 50 papers in leading journals and peer-reviewed conferences, and h​e has served in more than ten international conference program committees, and supervised eight PhD students. He was recently appointed Director of the Paris Centre for Quantum Computing.

His research is focused on quantum algorithms for machine learning and optimization, where his work on recommendation systems has provided the most convincing example of a real-world application of quantum machine learning. He has also provided the best-known example of a result in classical complexity theory using quantum arguments, several optimal quantum cryptographic protocols, and exponential separations in communication; he has also participated in implementations of communication and cryptographic protocols with photonic systems.