Umberto Villa Email & Phone Number
@utexas.edu
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Who is Umberto Villa? Overview
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Umberto Villa is listed as Assistant Professor at Biomedical Engineering, The University of Texas at Austin, based in Austin, Texas, United States. AeroLeads shows a work email signal at utexas.edu and a matched LinkedIn profile for Umberto Villa.
Umberto Villa previously worked as Research Scientist at Oden Institute For Computational Engineering And Sciences and Research Assistant Professor at Washington University In St. Louis. Umberto Villa holds Phd, Computational Mathematics from Emory University.
Email format at Biomedical Engineering, The University of Texas at Austin
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About Umberto Villa
I define myself as a mathematical engineer and computational scientist.My work focuses on advancing our understanding of physical and biological phenomena, improving the design of engineering systems, and supporting informed decision-making under uncertainty by use of mathematical/statistical modeling and high-performance computing. An important component of my work is the systematic integration of mathematical models and data (e.g., experimental measures and images) using the Bayesian framework. Throughout my career, I have led the development of novel formulations and algorithms for the solution of both forward and inverse problems. I have achieved this by establishing a close working collaboration with some of the leading research experts in the fields of medical imaging, geophysics, engineering, computational sciences, and applied mathematics.During my doctoral program and postdoctoral training, I made several important contributions to the field of computational science and engineering, and more specifically with regards to the use of large-scale numerical simulation as a tool to inform decision-making under uncertainty. These included the use of patient-specific computational hemodynamics simulations to quantify wall shear stress and predict the risk of rupture of an aneurysm; the optimal control of the inlet condition of a turbulent jet to ensure proper mixing; and the use of information-theoretic approaches (expected information gain) to optimally designing sensing systems.As a Research Assistant Professor at Washington University, I am working on several projects aiming at advancing quantitative and functional image reconstruction algorithms with the ultimate goal of advancing the state-of-care for cancer diagnosis and treatment. In particular, my focus is on emerging acoustic and optical imaging modalities, such as photoacoustic computed tomography (PACT) and ultrasound computed tomography (USCT).
Listed skills include Numerical Analysis, Mathematical Modeling, Scientific Computing, Matlab, and 20 others.
Umberto Villa's current company
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Umberto Villa work experience
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Research Scientist
Current
Research Assistant Professor
Model and learning-based image reconstruction algorithms for emerging imaging modalities such as ultrasound computed tomography (USCT) and photoacoustic computed tomography (PACT).Meaningful assessment of learning-based image reconstruction algorithm using objective measurements of image quality and numerical observers.High-fidelity modeling of imaging.
Research Associate
Investigation of scalable numerical methods for inverse problems, Bayesian inference, PDE-constrained optimization, uncertainty quantification, optimization under uncertainty. Applications to geophysical and engineering problems.
Postdoctoral Fellow
Investigation of highly parallel and scalable numerical solvers for mixed finite element discretizations: element agglomeration algebraic multigrid (AMGe), numerical upscaling.
Phd
PhD in Computational MathematicsDissertation Research in Computational Fluid Dynamics: Scalable Efficient Methods for Incompressible Fluid-dynamics in Engineering ProblemsAdvisor: Prof. A. Veneziani.Teaching:Calculus I and Calculus II instructor.Life science calculus TALinear Algebra TA
Internship
Internship
Investigation of stable and robust finite element discretizations for the Brinkman problem. Development and parallel c++ implementation of optimal block preconditioners for the Brinkman problem.Summer student Intern under the supervision of Dr. P. Vassilevski (Center for Applied Scientific Computing - CASC)
Internship
Research Participant in the Computer Science and Mathematics division under the supervision of Dr. J. Hill.Development of a general optimization-based framework for multi-physics multi-model Domain Decomposition. Application to conjugate heat transfer and fluid structure interaction problems.
Internship
Research Participant in the Computer Science and Mathematics division under the supervision of Dr. J. Hill.
Umberto Villa education
Phd, Computational Mathematics
Ms, Mathematical Engineering
Ms, Mathematical Engineering
Bs, Mathematical Engineering
Frequently asked questions about Umberto Villa
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What company does Umberto Villa work for?
Umberto Villa works for Biomedical Engineering, The University of Texas at Austin.
What is Umberto Villa's role at Biomedical Engineering, The University of Texas at Austin?
Umberto Villa is listed as Assistant Professor at Biomedical Engineering, The University of Texas at Austin.
What is Umberto Villa's email address?
AeroLeads has found 1 work email signal at @utexas.edu for Umberto Villa at Biomedical Engineering, The University of Texas at Austin.
Where is Umberto Villa based?
Umberto Villa is based in Austin, Texas, United States while working with Biomedical Engineering, The University of Texas at Austin.
What companies has Umberto Villa worked for?
Umberto Villa has worked for Biomedical Engineering, The University Of Texas At Austin, Oden Institute For Computational Engineering And Sciences, Washington University In St. Louis, The University Of Texas At Austin, and Lawrence Livermore National Laboratory.
How can I contact Umberto Villa?
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What schools did Umberto Villa attend?
Umberto Villa holds Phd, Computational Mathematics from Emory University.
What skills is Umberto Villa known for?
Umberto Villa is listed with skills including Numerical Analysis, Mathematical Modeling, Scientific Computing, Matlab, Latex, Cfd, Parallel Computing, and Finite Element Analysis.
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