I am a Research Scientist at the Max Planck Institute for Software Systems (MPI-SWS) and was previously a Research Scientist at Matter Labs and a Research Intern at Chainlink Labs. I earned my Ph.D. in Computer Science from MPI-SWS, with a focus on blockchain technologies such as decentralized finance, decentralized governance, airdrop designs and data research. My research has been featured in top computer science venues such as IMC, FC, WWW, ICWSM, and CSCW, and highlighted in media outlets like The New York Times, The Huffington Post, MIT Technology Review, BBC Brasil, Nexo, and Folha de São Paulo. For more details, please visit my website or follow me on Twitter @johnnatan_me. My work has also achieved a Google Scholar h-index of 16 and an i-10 index of 21. Alongside my academic skills, I have led machine learning projects in risk and loan default prediction and health insurance forecasting. One of these projects was recognized as Brazil’s most innovative health software in 2019. In 2018, I contributed to the "Eleições sem Fake" initiative to combat misinformation in the Brazilian elections. I'm always open to connecting, so feel free to reach out. Disclaimer: Opinions expressed on social media are my own. Google Scholar: https://scholar.google.com/citations?user=EoGEeFAAAAAJ