Daniel Costa
PhD student - Papers2Data and Data2Catalysts
Heterogeneous Catalysis - Machine Learning - Data Extraction - LLMs (Large Language Models)
Daniel entered DigiCat in 2023 as a PhD student. He graduated from Técnico in 2021 in Chemical Engineering.
Daniel's research mainly focuses on applying Machine-Learning methods and A.I. to improve catalysts design and automate catalysis data extraction. Moreover, Daniel works with data management and acquisiton in the lab in the side lines.
What else? Daniel enjoys playing football and padel, doing code challenges, reading and playing computer games. Feel free to challenge Daniel for a game or share any book recomendations.