Christoffer Olling Back
Software, Data, People & Society
Universitetsparken 5, 2100 København Ø
My research focus is on business process analytics and process mining, a form of data mining which aims at extracting business process models from event logs for purposes of bottleneck identification, compliance checking, operational support, and more. In particular, I am working on methods for constructing hybrid process models, i.e. models which combine imperative (flow-based) and declarative (constraint-based) paradigms.
I am generally interested in artificial intelligence, both probabilistic and logic-based approaches.
As a professionally trained glass artist, I've had numerous exhibitions across Denmark and have developed a novel technology for the automated shaping of glass.
Mathematics, supplementary coursework (Roskilde University)
MSc Artificial Intelligence (University of Edinburgh)
BA Psychology w/ Computer Science (Lewis & Clark College)
BA Applied Arts (Royal Danish Academy of Fine Arts)