Yonathan Radensy

About Yonathan

Yonathan Radensky is a Fast-Track M.Sc. student in Materials Science and Engineering at Tel Aviv University, where he also completed his dual B.Sc. in Chemistry and Materials Engineering. 
His research focuses on applying machine learning and data science techniques to predict the thermodynamic stability and properties of novel inorganic compounds from crystal structure and chemical formula. He aims to bridge first-principles theory and high-throughput computational screening to accelerate the discovery of stable functional materials.