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, pub), a method for increasing physics-informed neural network extrapolation accuracy by 40% with minimal added computational cost, and PFCGR (arxiv, pub), a machine learning pipeline for genomic sequence analysis that is 90% faster than DNABERT with similar performance.