Danilo Lessa Bernardineli is an atmosphere physicist from Ariquemes, on the Amazon, and brings interdisciplinary data science knowledge and skills from several research and open-source projects which he took part in during his stay at the University of São Paulo. From web scraping to complex modeling, and always through a rigorous Bayesian statistics lens, Danilo is a firm believer in the power of science to bring resilience and adaptability to systems. He is excited to work with BlockScience to help usher in a new era of systemic and data-driven decision making to complex systems. His personal interests include ultra-endurance road cycling, and teaching out of the box skills to others.
