Roberto develops quantum machine learning algorithms for quantum chemistry at GenMat. Roberto was previously a research assistant professor with strong quantum physics and mathematical background and 10+ years of experience in quantum materials characterization aiming to optimize quantum coherence in superconducting qubits. Roberto is actively involved in the quantum information science community, in both algorithms and materials development, through partnerships with national laboratories in a multi million project funded by the U.S Department of Energy. Roberto excels at solving complex problems that involve deep math knowledge.