Umberto Villa
Italian mathematician
Facts
13 properties- Instance of
- human
- Occupation
- mathematician
- Employer
- Washington University in St. Louis (2018–2022), University of Texas at Austin (2015–2018), Lawrence Livermore National Laboratory (2013–2015)[3][4][5]
- Educated at
- Emory University[6]
- Official website
- ese.wustl.edu[11]
- Doctoral advisor
- Alessandro Veneziani[7]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Mathematics[14]
🏷️ Also known as
en Umberto E. Villa
en Umberto Villa
🔖 Identifiers · 11
- ORCID iD
- 0000-0002-5142-2559
- OpenAlex ID
- A5083076229, A5122917912, A5134827799, A5135551709, A5136737288as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Academic Tree ID
- 457758
- DBLP author ID
- 118/5566
- Described at URL
- engineering.wustl.edu
- Dimensions author ID
- 0723055671.73
- GitHub account
- uvilla
- MR Author ID
- 1026226
- Mathematics Genealogy Project ID
- 174493
- Scopus author ID
- 55388540600
- ZbMATH author ID
- villa.umberto-e
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 7
A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields,
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth,
Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning,
Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs,
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks,
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography,
Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer
← Authored by 7
A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields,
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth,
Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning,
Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs,
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks,
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography,
Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer
Affiliated with 2
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Summary
Umberto Villa worked as a mathematician[1].
Body
Career and Affiliations
Employers include Washington University in St. Louis[3], a private university[15], in United States[16], founded in 1853[17], headquartered in St. Louis County[18]; University of Texas at Austin[4], a public research university[19], in United States[20], founded in 1883[21], headquartered in Austin[22]; and Lawrence Livermore National Laboratory[5], a research institute[23], in United States[24], founded in 1952[25], headquartered in Livermore[26].
FAQs
What did Umberto Villa do for work?
Umberto Villa worked as mathematician[1].
Where did Umberto Villa go to school?
Umberto Villa was educated at Emory University[6].