Michail Chatzianastasis

Michail Chatzianastasis

PhD Student @ École polytechnique.

About me

I am a Machine Learning Research Scientist at Natera in the Therapeutics AI team, where I focus on developing genomic large language models (LLMs) for clinical applications and designing deep learning methods for neoantigen prediction in cancer immunotherapy. Previously, I obtained my PhD at the Data Science and Mining Team of the Computer Science Laboratory at École Polytechnique, under the supervision of Prof. Michalis Vazirgiannis. In 2024, I completed an internship at InstaDeep working on graph neural networks and single cell foundation models. 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 Dr. 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.

My research interests lie at the intersection of machine learning, graph representation learning, and foundation models for biology. I am particularly interested in developing methods that combine structured, multimodal, and generative approaches to better model complex biological systems. Beyond biology, I am also exploring how these advances can contribute to broader areas such as automated machine learning.

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