ARBEITSGRUPPE

DATENBANKEN UND

SOFTWARE ENGINEERING

Vita

• ab Dezember 2021: Wissenschaftlicher Mitarbeiter, Otto-von-Guericke-Universität Magdeburg
• ab Juli 2021: Software-Entwickler, METOP GmbH, Magdeburg
• 2018-2021: M.Sc. Informatik, Otto-von-Guericke-Universität Magdeburg
• 2018-2021: Wissenschaftliche Hilfskraft, Otto-von-Guericke-Universität Magdeburg
• AG Datenbanken und Software Engineering
• 2014-2018: B.Sc. Informatik, Otto-von-Guericke-Universität Magdeburg

2023

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• Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake, and Robert Heyer. Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets. BMC Medical Informatics and Decision Making, 2023. (PDF)
   
• Daniel Walke, Daniel Micheel, Kay Schallert, Thilo Muth, David Broneske, Gunter Saake, and Robert Heyer. The importance of graph databases and graph learning for clinical applications. Database: The Journal of Biological Databases and Curation, 2023. Accepted review about graph databases and graph machine learning. (PDF)
   

2021

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• Daniel Micheel. Validation of peptide-spectrum matches with a deep learning approach. Master's thesis, University of Magdeburg, 2021.
   

2018

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• Daniel Micheel. Deep Learning Approach for Peptide Identification Using Big Public Databases. Bachelor thesis, University of Magdeburg, September 2018.
   

• Optimierung von Graphdatenbanken für große klinische und biologische Datensätze