Andrea Gardin

Andrea Gardin is a Postdoctoral Research Fellow in the Molecular Machine Learning group. He completed his MSc. in Chemistry at the University of Padua, where he focused on computational methods to study complex molecular systems. In October 2023, he earned his Ph.D. in Material Science and Technology from the Polytechnic University of Turin. During his Ph.D., Andrea primarily worked on techniques for detecting and classifying the structural features of various supramolecular materials. Since joining this research group in January 2024, he has been applying machine learning to study and optimize a wide range of supramolecular materials, with a particular focus on, but not limited to, coacervates.