Christoffer Olling Back
PhD Student
Software, Data, People & Society
Sigurdsgade 41, 2200 København N.
As a member of the Process Modelling and Intelligence group, my research focuses primarily on process mining, machine learning and pattern recognition for process-related data. In particular, data stemming from Enterprise Resource Planning (ERP) systems which automate and log the execution of complex business processes.
I am involved in ongoing collaborations with private industry, as well as teaching and tutoring in topics ranging from Data Science and Mathematics, to Software Engineering and Computational Law.
In my free time, I enjoy developing novel digital fabrication technologies, specifically for the shaping of glass.
EDUCATION
Mathematics, supplementary coursework (Roskilde University)
MSc Artificial Intelligence (University of Edinburgh)
BA Psychology w/ Computer Science (Lewis & Clark College)
BA Applied Arts - Glass (Royal Danish Academy of Fine Arts)
ID: 173689456
Most downloads
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121
downloads
Towards an Entropy-Based Analysis of Log Variability
Research output: Chapter in Book/Report/Conference proceeding › Book chapter
Published -
97
downloads
Imperative versus Declarative Process Mining: An Empirical Comparison
Research output: Working paper › Research
In preparation