Salvatore Mandra obtained his Ph.D. in theoretical physics at the University of
Milan (Italy) in 2013. After the Ph.D, he worked as a postdoctoral researcher at
Harvard University and focused on quantum annealing and quantum computation. In
2016, he joined the Quantum Artificial Intelligence Lab (QuAIL) at NASA Ames.
His expertise ranges from the theoretical development of new classical/quantum
algorithms, as well as the numerical optimization of classical/quantum
simulations and benchmark of NISQ devices.