I am a Senior Machine Learning Research Scientist at Merck Research Laboratories in Cambridge, MA. My research focuses on developing advanced machine learning methods for drug discovery and development. Specifically, I work on single-cell foundation models for target discovery, geometric deep learning for gene regulatory network inference, and multimodal learning for spatial transcriptomics and H&E imaging.

Previously, I was a Harvard Data Science Initiative Postdoctoral Research Fellow at Harvard University, appointed at the Blavatnik Institute, Department of Biomedical Informatics, Harvard Medical School. I was hosted by Marinka Zitnik’s Lab (DBMI) and Francesca Dominici’s Lab (HDSI). My research focused on geometric deep learning for 3D biomolecular structure representation and design, multimodal foundation models for therapeutics, and equivariant message passing for spatiotemporal modeling.

I received my Ph.D. in Computer Science from École Polytechnique (DaSciM group, LIX) in Paris, France. During my graduate studies, I worked as a doctoral researcher at Noah’s Ark Lab, Huawei Technologies France. I was advised by Prof. Michalis Vazirgiannis, Dr. Aladin Virmaux, and Dr. Kevin Scaman.

Before that, I graduated from the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA).

Research Interests

Geometric Deep Learning, Foundation Models, Multimodal Learning, Knowledge Graphs, Graph Machine Learning, Generative Models, Evaluation and Benchmarking, AI for Science, AI for Biology.