George is the 2022 Wojcicki and Troper Postdoctoral Research Fellow of Harvard Data Science Initiative. He received a Ph.D. in Computer Science from the DaSciM group of LIX, École Polytechnique in Paris, France. He is working on machine learning for structured data with a special focus on graphs and generally non-Euclidean structures. His research is concentrated mainly on building powerful graph learning models, that are able to extract knowledge in diverse real-world applications, with a particular focus on life sciences, ranging from biomolecular modeling to biomedical knowledge graphs.
