Summary
Maria Mircea is a computational scientist with nine years of experience at the nexus of machine learning, mathematics, and quantitative biology, currently developing AI-driven solutions for individualized cancer therapy at BioNTech. With a PhD in Physics and a strong background in dynamical systems, she has led a scientific machine learning team and advanced techniques like PINNs, Universal Differential Equations, invertible and Bayesian neural networks for parameter estimation and biological discovery. Her postdoctoral work combined modelling and single-cell data analysis to uncover metabolic pathways in brown adipose tissue, and she has taught deep learning and mathematical modelling courses. Comfortable moving between theory and application, she pairs rigorous mathematical training with hands-on experience in agent-based models, random matrix theory, and single-cell RNA-seq, and brings proven leadership mentoring PhD students and supervising multidisciplinary projects.
9 years of coding experience
2 years of employment as a software developer
Graduate Exchange Student, Mathematics, Graduate Exchange Student, Mathematics at Universidad Nacional de Colombia
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Leiden University
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Technical University Munich
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Technical University of Munich
German, Romanian, Spanish, English