Alfredo Metere is a computational research scientist at LLNL, currently working on accelerating computational physics code by porting it to GPUs, physics of nucleation, and machine learning applied to physics simulation methods and data. He is contributing to the development of SPARC-X, a quantum molecular dynamics code created at LLNL. Before that, he was a senior research scientist at ICSI working on computational physics and artificial intelligence research.
Alfredo has a longstanding collaboration with LLNL, where he previously spent two and a half years as a postdoctoral research staff member. At LLNL, he was involved in scientific research about theoretical physics, plasma physics, artificial intelligence, and software engineering projects.
Alfredo obtained both his PhD in Physical Chemistry and his MS degree in Materials Chemistry in 2015 from Stockholm University, Sweden. He received his BS degree in Industrial Biotechnology in 2008 from University of Cagliari, Italy. Previously, he attended undergraduate-level courses of physics at the University of Siena, Italy. At the same time, he worked at the Department of Physics of the University of Siena as a research assistant in an experimental high-energy physics laboratory. He also worked in the industry as a freelance enterprise IT consultant for more than 15 years overall with companies based in Italy, Sweden, UK, and USA.
He was awarded with an Academic Hardware Grant from NVIDIA for a record-breaking 3D particle real-time visualization engine, and he contributed to the development of a world-leading molecular dynamics simulation program, GROMACS, focusing on GPU-based heterogeneous high performance computing algorithms and implementations. He contributed also to LAMMPS.
Alfredo is a polymath with experience ranging from artificial intelligence, theoretical computer science, theoretical physics, computational physics, and computational biophysics, to high energy physics, bioinformatics, molecular biology, virology, microbiology, genetics, epidemiology, wet chemistry, and experimental biotechnology. His research interests include non-linear dynamics, chaos theory, condensed matter physics, quasicrystals, theoretical physics, computational physics, nuclear physics, physical chemistry of self-assembled structures, theoretical artificial intelligence, and theory of computation.