Florian Sobieczky Email & Phone Number | I am working on data science problems involving production processes for which physical insight in the underlying mechanism is partially available. The need for the ability to interpret the involved models' parameters often suggest to reject out-of-the-box neural network methods. Instead of blindly relying on black-box algorithms, a combination of classical machine learning and deep learning methods are called for to define resilient interpretability of artificial intelligence.

Florian Sobieczky

I am working on data science problems involving production processes for which physical insight in t...
Software Competence Center Hagenberg, Softwarepark 21, Austria

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Florian Sobieczky’s Email sobieczky@tugraz.at

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Florian Sobieczky’s Location Software Competence Center Hagenberg, Softwarepark 21, Austria

Florian Sobieczky’s Current Industry Software Competence Center Hagenberg

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Work Experience

Software Competence Center Hagenberg

Senior Researcher

2020-05-01 00:00:00 - Present

Runit Solutions

Research Scientist

2015-12-01 00:00:00 - 2016-07-01 00:00:00

Ams

Statistical Consultant

2015-10-01 00:00:00 - 2016-03-01 00:00:00

University Of Denver

Lecturer In Mathematics

2012-08-01 00:00:00 - 2015-05-01 00:00:00

University Of Colorado At Boulder

Visiting Scholar

2011-08-01 00:00:00 - 2012-07-01 00:00:00

University Of Jena

University Assistant

2009-04-01 00:00:00 - 2011-08-01 00:00:00

Novo Nordisk

Free cooperation

2009-09-01 00:00:00 - 2010-01-01 00:00:00

Graz University Of Technology

Post-Doc

2004-09-01 00:00:00 - 2009-03-01 00:00:00

Skills

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Languages

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FAQ About Florian Sobieczky

Florian Sobieczky is located at
Software Competence Center Hagenberg, Softwarepark 21, Austria

Florian Sobieczky is a I am working on data science problems involving production processes for which physical insight in the underlying mechanism is partially available. The need for the ability to interpret the involved models' parameters often suggest to reject out-of-the-box neural network methods. Instead of blindly relying on black-box algorithms, a combination of classical machine learning and deep learning methods are called for to define resilient interpretability of artificial intelligence.

Florian Sobieczky currently works in the Software Competence Center Hagenberg |

No Languages Available

Florian Sobieczky has prior
experience in the following industries:
Runit Solutions | Ams | University Of Denver | University Of Colorado At Boulder | University Of Jena | Novo Nordisk | Graz University Of Technology

Florian Sobieczky has the following professional experience:
Software Competence Center Hagenberg | Runit Solutions | Ams | University Of Denver | University Of Colorado At Boulder | University Of Jena | Novo Nordisk | Graz University Of Technology