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Dr.-Ing. Daniel Stromer

Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Working and Practical Experience

since 05/2019

Siemens Healhineers AG

Collaboration Manager for Digital Services in EMEA

 

since 11/2016

Friedrich-Alexander-Universität Erlangen-Nürnberg

Research associate at the Pattern Recognition Lab (LME)

 

09/2018 - 03/2019

Massachusetts Insitute of Technology (MIT)

Visiting Student at Research Laboratory of Electronics (RLE)

 

08/2016 - 05/2019

Zeit-H3 GmbH (part-time)

Software developer for a personnel management software

 

03/2016 - 10/2016

St. Anna Hospital Hoechstadt a.d. Aisch (part-time)

Employee for Digitization Issues

 

03/2015 - 09/2015

Siemens AG Sector Healthcare

Working student at AX R&D System Control

 

10/2013 - 07/2014

Siemens AG Sector Healthcare

Working student at AX R&D System Control

 

06/2013 - 09/2013

Siemens AG Sector Healthcare

Bachelor's thesis at AX R&D System Control and LME

 

11/2011 - 05/2013

Siemens AG Sector Healthcare

Working Student at AX R&D Quality Installed Base

 

07/2006 - 09/2010

Siemens AG Sector Healthcare

X-ray device tester at AX Supply Chain Management - Make

 


Education and Training

since 09/2018

Friedrich-Alexander-Universität Erlangen-Nürnberg

PhD candidate at the Pattern Recognition Lab

Title: Non-invasive Imaging Methods for Digital Humanities, Medicine, and Quality Assessment

 

10/2013 - 09/2015

Friedrich-Alexander-Universität Erlangen-Nürnberg

M.Sc. - Medical Engineering (focus on medical image and data processing)

 

10/2010 - 11/2013

Friedrich-Alexander-Universität Erlangen-Nürnberg

B.Sc. - Medical Engineering (focus on imaging systems)

 

09/2008 - 07/2010

Fachschule für Techniker Erlangen

State Certified Technician - Information Technology

 

09/2003 - 07/2006

Siemens AG Medical Solutions

Training as Industrial Electrician (Device Technology). Passed business units: MRI, CT, Audiology