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+---
+name: "Athanasios Papastathopoulos-Katsaros"
+role: "Assistant Professor"
+title: ["Assistant Professor"]
+avatar: "../../assets/athanasios-papastathopoulos-katsaros.jpg"
+bio: "Currently solving (or creating?) problems in biomedical informatics."
+email: "athanasios.papastathopoulos-katsaros@bcm.edu"
+linkedin: "https://www.linkedin.com/in/athanasios-papastathopoulos-katsaros-525838a7"
+github: "https://github.com/thanos713"
+googleScholar: "https://scholar.google.com/citations?user=vNvB_NoAAAAJ&hl=en"
+weight: 25
+---
+Pivot master: from physics to material science, quantum chemistry, quantitative finance, and data science. My research focuses on applying mathematical modeling to complex systems. I earned my B.S. in Physics from the University of Crete (2018) and my Ph.D. in Computational Quantum Chemistry from Rice University (2023). 
+
+Currently, I am an Assistant Professor in the Liu Lab at Baylor College of Medicine and Texas Children's Hospital where I develop machine learning models for biomedical informatics. My notable contributions include **PINN-extrapolation** ([arxiv](https://arxiv.org/abs/2507.12659), [pub](https://link.springer.com/chapter/10.1007/978-3-032-04555-3_24)), a method for increasing physics-informed neural network extrapolation accuracy by 40% with minimal added computational cost, and **PFCGR** ([arxiv](https://www.biorxiv.org/content/10.1101/2025.06.03.657533v2.abstract), [pub](https://ieeexplore.ieee.org/document/11273393)), a machine learning pipeline for genomic sequence analysis that is 90% faster than DNABERT with similar performance.