Timo Sturm, M.Sc.

Timo Sturm M.Sc.

Timo Sturm Image

Research Associate

Hochschulstraße 1
64289 Darmstadt

Office: S1|02 237a

+49 6151 16-24335
+49 6151 16-24335


Research Interests

  • Artificial Intelligence in the Business Context
  • Data Science and Machine Learning
  • Data-driven Innovation and Ideation Processes

Consultation Hour

on appointment


Curriculum Vitae

since 05/2019 PhD Candidate and Research Associate at the Chair of Information Systems | Software & Digital Business at the Technical University of Darmstadt
03/2018 – 02/2019 Working Student (SAP Digital Business Services – Automotive & Manufacturing: IoT & Machine Learning Consulting) at SAP Deutschland SE & Co. KG, Walldorf
07/2017 – 02/2018 Research Assistant at the Chair of General Management and Information Systems at the University of Mannheim in Cooperation with the University Medical Center Mannheim
01/2017 – 12/2017 Working Student (Data Science Team of SAP Predictive Maintenance & Service) at SAP SE, Walldorf
08/2016 – 12/2016 Working Student (Big Data & Analytics Consulting) at SAP Deutschland SE & Co. KG, Walldorf
08/2016 – 04/2019 Master in Information Systems (Track: Data & Web Science) at the University of Mannheim
03/2016 – 08/2016 Intern (Big Data & Analytics Consulting) at SAP America, Inc., Palo Alto, USA
08/2015 – 12/2015 Bachelor Thesis Student at ATVISIO Consult GmbH, Kaiserslautern
10/2013 – 08/2015 Working Student (Innovation Application Development) at SAP SE, Walldorf
10/2012 – 02/2016 Bachelor in Information Systems at the Technical University of Darmstadt


go to TU-biblio search on ULB website


from WS 2019/2020
and SS 2020
(annual cycle)
Instructor of the module “Artificial Intelligence: Algorithms and Application” including the following courses:
  • WS: “Artificial Intelligence: Basics of Algorithms and Application”
  • SS: “Artificial Intelligence: Advanced Topics in Algorithms and Application”
SS 2019 Course Instructor of “Digital Business”
(formerly: “Information Management”)
since SS 2019 Advisor of various student theses
(focus on Artificial Intelligence, Data Science, and Machine Learning)


upon request

Note: You are also welcome to suggest your own topics, as long as they fall within my research interests listed above. In this case, please send me a 1-2-page exposé and a current transcript of records. Please consult our official requirements: more information.

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