It's me!

PhD Student
Archaeoinformatics - Data Science Group
Department of Computer Science
Kiel University, Germany

Bio

I am a PhD candidate in the Department of Computer Science at Kiel University, Germany, supervised by Prof. Dr. Matthias Renz. My research focuses on the analysis and management of heterogeneous graphs - graphs where nodes and edges are assigned types. Specifically, I design efficient pattern mining algorithms and index structures for pattern-based similarity search in such graphs.

I received my M.Sc. from Kiel University in 2020, where my thesis explored high-pass graph filters as a way to mitigate oversmoothing in deeper graph neural network architectures.

Research Interests

My research centers on scalable algorithms for heterogeneous information networks (HINs), where both nodes and edges carry semantic type information. I work on two complementary problems: structural analysis through efficient typed graphlet counting, and similarity search via meta-path-based measures. Both problems hinge on structural and semantic context, and require highly efficient solutions in order to be scalable.

Keywords: Heterogeneous Information Networks · Graphlet Counting · Pattern Mining · Meta-path Similarity · Similarity Search · Index Structures · Query Processing · Graph Algorithms

Publications

For a full list of publications, check out my DBLP record or my Google scholar profile.

Awards

  • Outstanding Performance Award, 2025, 6th ACM Summer School on Data Science
  • Best Demo Runner-Up Award, 2023, ACM SIGSPATIAL 2023

Academic Activities

Conference Organization

Research Stays

  • DAAD PPP (with University of Hong Kong (HKU), Hong Kong), October 2022, January 2023
    Efficient Algorithms for Discovering Motifs on Labelled and Dynamic Graphs
  • DAAD PPP (with University of Hong Kong (HKU), Hong Kong), October 2019
    Motif Discovery in Heterogeneous Information Networks
  • DAAD PPP (with University of Illinois at Chicago (UIC), Chicago, USA) September 2019
    Heterogeneous Information Network Management and Analysis

Training

  • 6th ACM Europe Summer School on Data Science, Ioannina, Greece, July 2025
  • 3rd ACM Europe Summer School on Data Science, Athens, Greece, July 2019

Teaching

  • Tutorial: Data Science, Kiel University
    2021, 2022, 2023, 2024, 2025
  • Master’s Seminar: Data Science, Kiel University
    2020, 2021, 2025
  • Master’s Project: Data Science and Data Mining, Kiel University
    2020, 2021, 2023, 2026
  • Tutorial: Knowledge Discovery and Data Mining, Kiel University
    2019, 2020
  • Tutorial: Efficient Similarity Search in Large Databases, Kiel University
    2020, 2021, 2023, 2024
  • Tutorial: Information Systems, Kiel University
    2020, 2021
  • Tutorial: Database Systems, Kiel University
    2023
  • Tutorial: Geo-Information Systems, Kiel University
    2021
  • Tutorial: Introduction to Computer Science, Kiel University
    2022

Thesis Co-Supervision

Note: As part of graduate training in our department, PhD candidates provide primary research and thesis supervision under the formal supervision of faculty members. Unless otherwise specified, these have been co-supervised with Prof. Dr. Matthias Renz.

  • Gender Bias in Translations: Comparing English to gender-neutral Languages such as Finnish and Turkish, Bachelor’s thesis 2026 (Co-supervised with Dr. Pamela Fleischmann)
  • Calculating Typed Subgraph Counts in Heterogeneous Information Networks, Master’s thesis 2025
  • HINdex with Progressive Approximation for Efficient Similarity Search, Bachelor’s thesis 2024
  • Fine-tuning Large Language Models for Enhanced Information Extraction, Master’s thesis 2024 (Co-supervised with Prof. Dr. Matthias Renz, Yannick Wölker, M.Sc., and Nelson Tavares de Sousa, M.Sc.)
  • Reverse k-Nearest-Neighbor Search in Heterogeneous Information Networks, Bachelor’s thesis 2024
  • P-PathSim: Incorporating Spatial Proximity into the PathSim Algorithm, Master’s thesis 2024
  • Graphlet-based Similarity in Heterogeneous Information Networks, Master’s thesis 2023
  • Creating Degree-equivalent Heterogeneous Information Networks, Bachelor’s thesis 2023
  • HINdex: Hierarchical Indexing of Heterogeneous Information Networks, Master’s thesis 2023
  • Machine Learning-based Analysis of the Combined Effect of PPI Intake and Alcohol Consumption on the Microbiome, Bachelor’s thesis 2023 (Co-supervised with Prof. Dr. Matthias Renz and Prof. Dr. Christoph Kaleta)
  • Heterogeneous Information Network Analysis: Synthetic Network Construction, Master’s thesis 2022
  • Hierarchical Clustering of Product Data in Heterogeneous Information Networks, Master’s thesis 2022
  • Identifying Usage Patterns in Webpages with Temporal Heterogeneous Motifs, Master’s thesis 2022
  • Contrastive Learning on Heterogeneous Graphs, Bachelor’s thesis 2022 (Co-supervised with Prof. Dr. Matthias Renz and Yannick Wölker, M.Sc.)
  • Analyzing Data Characteristics to detect and Predict Quality Degradation of Machine Learning-based Systems, Master’s thesis 2022
  • Colored Motif Search in Heterogeneous Information Networks, Bachelor’s thesis 2021
  • Extending the Expressiveness of Meta-Structures in Heterogeneous Information Networks, Master’s thesis 2021
  • Application of Language Models to Examine beta-lactam-resistant AMRs, Bachelor’s thesis 2021 (Co-supervised with Prof. Dr. Matthias Renz and Prof. Dr. Tal Dagan)
  • Wave-based Damage Detection in Engineering Structures using Artificial Neural Networks, Bachelor’s thesis 2021 (Co-supervised with Prof. Dr. Matthias Renz and Steffen Strohm, M.Sc.)
  • Geo-Quantities: A Framework for Automatic Extraction of Measurements and Spatio-temporal Entities from Scientific Documents, Master’s thesis 2021 (Co-supervised with Prof. Dr. Matthias Renz and Mohammed Asif Suryani, M.Sc.)
  • Evaluating Meaningful Meta-Structures in Heterogeneous Information Networks, Master’s thesis 2020
  • Probability-based Relevance Search in Uncertain Heterogeneous Information Networks, Master’s thesis 2020
  • Spatial Semantics Expansion for Computing Relevance on Heterogeneous Information Networks, Bachelor’s thesis 2020
  • Relevance Measures in Temporal Heterogeneous Information Networks, Bachelor’s thesis 2020
  • Verortung von Fotodatein aus dem Kieler Stadtarchiv auf der Basis von Textlabels, Bachelor’s thesis 2020

Volunteering