Christoph Lofi

Assistant Professor


Assistant Professor at the Web Information Systems group of the Faculty of Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology.

My research is on Semantics-based Data Engineering methods and techniques. The general problem in data engineering is that the source data available to a data-driven system is often not fit for that purpose because data is scattered between different sources, is of low quality, or important semantic information is only implicitly available. This is a central challenge in the arising data-driven economy and a major detrimental aspect in many AI- or Data Science-driven systems. Data processing pipelines are needed to overcome these issues, producing the required target data from the available source data.

In the context of this challenge, I focus on problem scenarios where there is a semantic mismatch between mostly unstructured source data and structured target data. My research enables the engineering of sophisticated data processing pipelines for these scenarios which can tackle non-trivial issues with respect to integrating data from different sources, transforming data to more suitable granularities or more explicit representations, and augmenting data with additional data points and properties. This is a challenging aspect of data engineering, and solutions rely on recent methods for facilitating semantic enrichment like natural language processing, information extraction, crowd computing, or AI-driven data analysis.

I chose several application domains for validating my research, focusing on domains where data produced by humans needs to be analyzed and processed. These domains typically exhibit a strong semantic and structural mismatch between available and desired data, and thus are effective testing grounds for my research. Examples are digital libraries and enterprise digital text repositories, online education information systems, and information systems for supporting digital humanities research.

Current Projects and Research Lines

  • Future Libraries Lab: In collaboration with Royal Library Den Haag, focus on stimulating new technologies for public and academic libraries that are needed in tomorrow’s world.
  • Convergence Alliance Health and Technology, The Digital Patient Twin: In collaboration with ErasmusMC Rotterdam, focusing on data-engineering challenges for making sense of patient data.
  • Time Travel through Historic Maps and the long-term Role of Planning in Developing a Response to Pandemics: Funded by Volkswagen Foundation, in collaboration with HafenCity Universität Hamburg and History of Architecture and Urban Planning TU Delft.
  • Towards Fairer and more Reliable Data-Driven Decision Support Systems: in collaboration with Cognizant
  • Valentine - Semantic Data Integration on Scale
  • (Upcoming) TROIKA Trustworthy Collaborative Knowledge Engineering in Nutritional and Translational Sciences: Upcoming ICAI Lab in collaboration with Royal DSM, Biomax, and Maastricht University.




I am currently teaching several courses at TU Delft:

Education Awards

My education efforts have been awarded 2019 with the EEMCS-CS Teacher of the Year Award 2nd place, and the EEMCS-CS Teacher of the Year Award 3rd place in 2020.

Education Management

Short CV


Picture of Christoph Lofi

Visiting address:
Building 28
Room - 3.W.780 East 3rd floor
Van Mourik Broekmanweg 6
2628 XE Delft
The Netherlands