Christoffer Olling Back
External Postdoc, PhD Student
Programming Languages and Theory of Computing
Universitetsparken 5
2100 København Ø
Software, Data, People & Society
Sigurdsgade 41, 2200 København N.
Industrial Postdoc in the Department of Computer Science working at ServiceNow as a part of the new Digital Research Centre Denmark (DIREC).
Research interests:
- Machine Learning
- Pattern Recognition
- Process Mining
- Symbolic/Logic-based AI
- Unifying above approaches
My overarching research interest is in AI generally, especially its application to computing/automation tools themselves. Recently, as a member of the Process Modelling and Intelligence group, my research has focused specifically 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 have taught as a guest lecturer, assistant teacher and tutor in topics ranging from data science, machine learning and mathematics; to software engineering and computer science in law.
In my free time, I enjoy making glass art by hand as well as developing novel digital fabrication technologies for glass.
EDUCATION
PhD Computer Science (University of Copenhagen)
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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166
downloads
Towards an Entropy-Based Analysis of Log Variability
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Published -
142
downloads
Imperative versus Declarative Process Mining: An Empirical Comparison
Research output: Working paper
Published