Gabriel Ravanhani Schleder

Graduated in Science and Technology (2014), Materials Engineering (2015), Master's (2017), and PhD (2021, sandwich period at Harvard University) in Nanosciences and Advanced Materials, all from the Federal University of ABC (UFABC). He has expertise in the areas of Computational Materials Science and Machine Learning, including experience in Quantum and Physical Properties of Condensed Matter, Electronic Structure of Nanomaterials, Density Functional Theory (DFT), and Two-dimensional Materials (2D). Since 2017 he has been a collaborating researcher at the National Nanotechnology Laboratory (LNNano), part of the National Center for Research in Energy and Materials (CNPEM), working in the group of Director Prof. Adalberto Fazzio. Currently is a postdoctoral researcher at Harvard University, in the group of Prof. Efthimios Kaxiras. Develops strategies combining DFT and machine learning for material properties; and works in theoretical-simulation-experimental collaborations, contributing with DFT Simulations, Machine Learning and Artificial Intelligence in projects involving fundamental understanding of nanomaterials, transmission electron microscopy (TEM), and sensor development. (Source: Lattes Curriculum)