Professor at Instituto Superior Técnico, he is a pioneer in the use of open data. His research focuses on catalysis and sustainable processes, combining multiscale modelling approaches and enhancing phenomenological models with machine learning.
PhD candidate holds a degree in Chemical Engineering from INSAT, Tunisia. Her dissertation on hydrocracking of alkanes and cycloalkanes was conducted at the Laboratory for Chemical Technology (LCT), Ghent. She has been a Ph.D. student at Instituto Superior Técnico within the Moving2Neutrality project, since 2023.
PhD candidate in Chemical Engineering with a research focus on catalysis and machine learning. Her work combines data-driven methods with catalytic process modelling to develop predictive tools and support the design of more efficient and sustainable chemical processes.
PhD candidate in Chemical Engineering that has spent the past three years working with Machine Learning models and Large Language Models (LLMs) to accelerate catalyst optimization. Prior to this, during his Master's thesis, he conducted experimental research focused on the development of heterogeneous catalysts.