Department of Digitalization


Room: HOW/60-2.Sal
Sine Zambach

Sine Zambach is postdoc at Department of Digitalization, Copenhagen Business School.

She holds a ph.d. degree in computer science and a master degree in bioinformatics. She has worked within data analysis in the educational sector, genetics and in a book publishing company.
Her main focus is on artificial intelligence and machine learning in the educational sector. She is a part of interuniversity collaboration project and collaborating with DTU and KU and ITU.

Primary research areas
  • Educational Data and Learning Analytics
  • Machine Learning and Artificial Intelligence
  • Business Data Analytics
  • Computational Social Science
Social media
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  • Big data analytics

  • Natural Language Processing and Text Analytics

Publications sorted by:
Sine Zambach / Citizen Produced Visualisations as Qualifying the Public Debate on the COVID-19 Pandemic
Poster session presented at ACM Collective Intelligence Conference 2021, 2021, 4 p.
Poster > peer review
Sine Zambach; Mette Franck; Michael Møller Nielsen; Annemette Kjærgaard / Survey of Educators’ and Students’ Experiences During the COVID-19 Lockdown : COVID-19 Teaching Experience Task Force at CBS.
Frederiksberg : Copenhagen Business School [wp] 2020, 5 p.
Working paper
Johan Hilge Thyegesen; Sine Katharina Zambach; Andrés Ingason; Pär Lundin; Thomas Hansen; Marcelo Bertalan; Anders Rosengren; Ditte Bjerre; Laura Ferrero-Miliani; Henrik Berg Rasmussen; Josef Parnas; Thomas Werge / Linkage and Whole Genome Sequencing Identify a Locus on 6q25–26 for Formal Thought Disorder and Implicate MEF2A Regulation
In: Schizophrenia Research, Vol. 169, No. 1-3, 12.2015, p. 441-446
Journal article > peer review
Claus Desler; Sine Zambach; Prashanth Suravajhala; Lene Juel Rasmussen / Introducing the Hypothome : A Way to Integrate Predicted Proteins in Interactomes.
In: International Journal of Bioinformatics Research and Applications, Vol. 10, No. 6, 2014, p. 647-652
Journal article > peer review
Christian Theil Have; Sine Zambach; Henning Christiansen / Effects of Using Coding Potential, Sequence Conservation and mRNA Structure Conservation for Predicting Pyrroly-sine Containing Genes
In: BMC Bioinformatics, Vol. 14, No. 1, 2013
Journal article > peer review
Sine Zambach / Regulatory Relations Represented in Logics and Biomedical Texts
Roskilde : Roskilde Universitet 2012, 151 p.
Ph.D. thesis
Sine Zambach; Tine Lassen / A Lexical Framework for Semantic Annotation of Positive and Negative Regulation Relations in Biomedical Pathways
Paper presented at 4th International Symposium on Semantic Mining in Biomedicine, 2011
Paper > peer review
Troels Andreasen; Henrik Bulskov; Sine Zambach; Tine Lassen; Bodil Nistrup Madsen; Per Anker Jensen; Hanne Erdman Thomsen; Jørgen Fischer Nilsson / A Semantics-Based Approach to Retrieving Biomedical Information
In: Flexible Query Answering Systems, FQAS 2011. ed. /H. Christiansen; Guy De Tré; Adnan Yazici; Slawomir Zadrozny; Troels Andreasen; Henrik Legind Larsen. Heidelberg : Springer Science+Business Media 2011, p. 108-118 (Lecture Notes in Computer Science, Vol. 7022/2011)
Article in proceedings > peer review
Sine Zambach; Jens Ulrik Hansen / Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways
In: Information Technology in Bio- and Medical Informatics, ITBAM 2010: First International Conference, Bilbao, Spain, September 1-2, 2010. Proceedings. . ed. /Sami Khuri; Lenka Lhotská; Nadia Pisanti. Berlin : Springer 2010, p. 186-200 (Lecture Notes in Computer Science, Vol. 6266)
Article in proceedings > peer review
Kim Allan Hansen; Sine Zambach; Christian Theil Have / Ontology-based Retrieval of Bio-medical Information based on Microarray Text Corpora
Paper presented at 15th ESSLLI Student session, 2010
Paper > peer review
More results... (total 18 results)
Outside activities


Co-organizer of the ACM Collective Intelligence Conference 2021 at CBS


  • Gyldendal: Development of educational material within logic and machine learning, and consultant in material of technological understanding.
  • Kvinde kend din kode (book), FILO.
  • Workshops and lectures in Introduction to Programming: PROSA, Yngre Finansøkonomer, IT-lærerforeningen, ICILS2018/DPU, IDA, and various libraries.