Michail Chatzianastasis

Michail Chatzianastasis

PhD Student @ École polytechnique.

About me

I am a PhD student at the Data Science and Mining Team of the Computer Science Laboratory at École Polytechnique, under the supervision of Prof. Michalis Vazirgiannis. In 2022, I completed an internship at Flatiron Institute of Simons Foundation in New York, where I worked on the application of graph neural networks for cancer gene prediction under the guidance of Prof. Zijun Frank Zhang. Prior to this, I graduated from the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). During my undergraduate studies, I worked as a Machine Learning Researcher in Laboratory of Algebraic and Geometric Algorithms at National and Kapodistrian University of Athens under the supervision of Prof. Ioannis Emiris. I also successfully completed Google Summer of Code 2019.

I am deeply passionate about machine learning on graph-structured data. My research focuses on developing neural network architectures for graphs, aiming to solve real-world challenges, particularly in domains such as drug discovery and recommendation systems. At present, my research endeavors are directed towards the development of multimodal generative models for protein representation learning. This involves the fusion of graph and text data, leveraging Graph Neural Networks (GNNs) and Large Language Models (LLMs). I am also exploring the application of graph representation learning techniques in other fields such as AutoML and Neural Architecture Search.

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