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Thomas Yu is listed as Research Scientist at Siemens Healthineers at Siemens Healthineers, a company with 35988 employees, based in Écublens, Vaud, Switzerland. AeroLeads shows a work email signal at siemens-healthineers.com and a matched LinkedIn profile for Thomas Yu.
Thomas Yu previously worked as Senior Research Scientist at Siemens Healthineers and PhD Research Intern at Siemens Healthineers. Thomas Yu holds Phd, Electrical Engineering (Specializing In Machine Learning For Inverse Problems And Computer Vision) from Epfl (École Polytechnique Fédérale De Lausanne).
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AeroLeads found 1 current-domain work email signal for Thomas Yu. Compare company email patterns before reaching out.
I'm a research scientist with expertise in machine learning, applied mathematics, and medical imaging interested in solving complex, technical problems. I have interest and experience in being involved across the whole product lifecycle ranging from prototyping ideas all the way to productization and deployment.For representative publications please see my google scholar: https://scholar.google.com/citations?hl=en&user=Qgr-y7oAAAAJ
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Lausanne, Vaud, Switzerland
Conducting research into novel, deep learning methods for reconstruction of Magnetic Resonance Images (MRI).Responsible for prototyping and productization of a deep learning reconstruction method for high field (7T) MRI.
Vaud, Switzerland
Conducting research into unsupervised ML methods for reconstructing MR images from undersampled k-space data.
Chicago
Made decade resistor boxes for the examination of voltage sensitive materials. Constructed and programmed an Arduino relaybox apparatus to remotely control RF switchesfor use in experimentation Worked with Walter Lawrence (affiliated with James Franck Institute) on designing a circuitof parallel arrays of Josephson Junctions to act as a stable, flux.
Chicago
Research topic: Riemannian and Semi-Riemannian Manifolds, Differential Geometry(From books by Chern and O'Neil), wrote an expository paper on differential geometry that culminated in a proof of the Sphere theorem, an important comparison theorem in Riemannian Geometry.
Chicago
Research topic: Rigorous overview of the Calculus of variations(using Gelfand's book), wrote an expository paper covering fundamental theorems with an extended example on recovering Maxwell's equations from the Lagrangian of a particle in an EM field.
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Jeffrey Crowley
Colleague at Siemens Healthineers
Elmhurst, Illinois, United States, United States
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DH
Dominika Halakova
Colleague at Siemens Healthineers
Bratislava-Ružinov, Bratislava, Slovakia, Slovakia
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VC
Veronica Castro Alvarado
Colleague at Siemens Healthineers
Mexico City Metropolitan Area, Mexico
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JG
Juan Guzman
Colleague at Siemens Healthineers
Posen, Illinois, United States, United States
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SR
Sanjay Reddy
Colleague at Siemens Healthineers
Bengaluru, Karnataka, India, India
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MA
Matthias Archut
Colleague at Siemens Healthineers
Nuremberg, Bavaria, Germany, Germany
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EP
Eleni Petridi
Colleague at Siemens Healthineers
Athens Metropolitan Area, Greece
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SV
Sylvia Vaquero Robles
Colleague at Siemens Healthineers
Greater Madrid Metropolitan Area, Spain
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XM
Xinyue Man
Colleague at Siemens Healthineers
Pudong, Shanghai, China, China
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LG
Landile Gwentshe
Colleague at Siemens Healthineers
East London, Eastern Cape, South Africa, South Africa
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Erasmus Mundus Scholarship (tuition, travel grant, stipend).
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Thomas Yu works for Siemens Healthineers.
Thomas Yu is listed as Research Scientist at Siemens Healthineers at Siemens Healthineers.
AeroLeads has found 1 work email signal at @siemens-healthineers.com for Thomas Yu at Siemens Healthineers.
Thomas Yu is based in Écublens, Vaud, Switzerland while working with Siemens Healthineers.
Thomas Yu has worked for Siemens Healthineers, Schuster Lab, and University Of Chicago Vigre Math Reu.
Thomas Yu's colleagues at Siemens Healthineers include Jeffrey Crowley, Dominika Halakova, Veronica Castro Alvarado, Juan Guzman, and Sanjay Reddy.
You can use AeroLeads to view verified contact signals for Thomas Yu at Siemens Healthineers, including work email, phone, and LinkedIn data when available.
Thomas Yu holds Phd, Electrical Engineering (Specializing In Machine Learning For Inverse Problems And Computer Vision) from Epfl (École Polytechnique Fédérale De Lausanne).
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