Summary
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Rockstar🎓
Top SchoolUmberto Villa is an Assistant Professor and mathematical engineer with 15 years of experience applying high-performance computing, Bayesian inference, and PDE-based modeling to solve challenging forward and inverse problems in physics and biology. He develops novel algorithms that integrate mathematical models with experimental data to improve engineering design and inform decision-making under uncertainty, with notable applications in patient-specific hemodynamics, turbulent flow control, and optimal sensor design. His recent work focuses on advancing quantitative image reconstruction for emerging clinical modalities such as photoacoustic and ultrasound computed tomography to improve cancer diagnosis and treatment. He has a strong track record of building scalable numerical solvers and conducting virtual imaging trials through close collaborations across medical imaging, geophysics, and computational science. Based in Austin and affiliated with the Oden Institute, he blends theoretical rigor from a PhD in computational mathematics with practical implementation experience from national labs and academia. Beyond algorithms, he emphasizes objective, observer-based assessment of learning-based reconstructions—ensuring methods are both high-fidelity and clinically meaningful.
15 years of coding experience
10 years of employment as a software developer
PhD, Computational Mathematics, PhD, Computational Mathematics at Emory University
MS, Mathematical Engineering, MS, Mathematical Engineering at Politecnico di Milano
MS, Mathematical Engineering, MS, Mathematical Engineering at Politecnico di Torino
English, Italian, Spanish