Summary
Maria Veiga is an applied mathematician and tenure-track Assistant Professor at The Ohio State University with 12 years of experience translating data-driven methods and traditional numerical techniques into solutions for fluid dynamics and problems in the natural sciences and engineering. Her trajectory spans a PhD in applied mathematics from the University of Zurich, postdoctoral work at the University of Michigan and MIDAS, and industry research roles at GE Power, giving her a rare blend of academic rigor and practical engineering exposure. She builds and implements computational methods that bridge machine learning with classical numerical solvers, often focusing on real-world physical systems rather than purely theoretical models. Outside academia she mixes art, math, and computing, reflecting a creative approach to modeling and visualization that informs both her research and teaching.
12 years of coding experience
2 years of employment as a software developer
Computational Science and Engineering, Mathematics and Computer Science, Computational Science and Engineering, Mathematics and Computer Science at Eidgenössische Technische Hochschule Zürich
Pure Mathematics, Mathematics, 2.1, Pure Mathematics, Mathematics, 2.1 at Imperial College London
PhD Student, Applied mathematics / Computational Science, PhD Student, Applied mathematics / Computational Science at University of Zurich
Portuguese, English, Spanish, cantonese (spoken)