About ◼
Dr. Christoph Carl Kling ◼
Data Scientist
datatoscience@c-kesarling.de
References
Awards
2015
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Honorable Mention Award (one out of two) at the AAAI International Conference for Web and Social Media (ICWSM) 2015, Oxford
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2017
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Nomination for the Dissertation Award of the German Informatics Society (GI)
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2017
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University Award of Koblenz (2500€) [Press release (German)]
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2018
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Dissertation Prize 2016/2017 of the Faculty of Computer Science, University of Koblenz-Landau [Press release (German)]
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Selected Publications
Christoph Carl Kling.
Probabilistic Models for Context in Social Media - Novel Approaches and Inference Schemes. Dissertation, 2016 (
pdf)
- summa cum laude
- University Award of Koblenz (2500€)
- Dissertation Prize 2016/2017 of the Faculty of Computer Science
Christoph Carl Kling, Lisa Posch, Arnim Bleier, Laura Dietz.
Topic model tutorial: A basic introduction on latent Dirichlet allocation and extensions for web scientists.
Tutorial, International ACM Conference on Web Science (WebSci) 2016 (
material)
Christoph Carl Kling, Jerome Kunegis, Heinrich Hartmann, Markus Strohmaier, and Steffen Staab.
Voting Behaviour and Power in Online Democracy: A Study of LiquidFeedback in Germany's Pirate Party.
AAAI International Conference on Web and Social Media (ICWSM), 2015 (
pdf)
Honorable Mention Award, ICWSM 2015
Christoph Carl Kling, Jerome Kunegis, Sergej Sizov, and Steffen Staab.
Detecting non-Gaussian geographical topics in tagged photo collections.
ACM International Conference on Web and Data Mining (WSDM), 2014 (
pdf)
Qualifications
- Computer Science:
Diplom in Computer Science with distinction (grade 1.1).
- Data Mining / Statistics / Mathematics:
PhD with highest distinction (summa cum laude) from the University of Koblenz-Landau (supervisor: Steffen Staab). Five years of PhD studies on probabilistic graphical models, including the development and implementation of novel topic models for Big Data. International award at a top Data Mining conference (ICWSM 2015), international publications.
Teaching experience of eight semesters: university lectures / tutorials on Data Science, Machine Learning & Data Mining, Web & Information Retrieval.
About two years in Team Data Science at GESIS, Cologne.
- Economics:
Diplom with minor ("Anwendungsfach") in Business Informatics. Diplom examination in marketing, production & organisation, management & human resources, etc.: grade 1.2. Co-founder of datapeutics GmbH (eHealth company) in 2017.
- Presentation / Visualisation:
Highly experienced, more than 100 English presentations / lectures / tutorials. Freelancer in web programming and design at age 17. Experience in interactive data visualisation with JavaScript / D3js / OpenLayers etc.