معرفی
Thomas Heede is a Researcher at Aalborg University's Department of Computer Science, affiliated with the Technical Faculty of IT and Design. His work focuses on interdisciplinary research at the intersection of data science and microbial ecology. He participates in the DarkScience project, which aims to advance metagenomic analysis through data science techniques.
His research interests include knowledge graph integration of multi-modal spatial data, microbial species distribution modeling, and environmental data analysis. Key projects involve applying machine learning (e.g., Gaussian processes) to ecological datasets and developing frameworks for heterogeneous data fusion in microbiology.
Recent work includes a 2025 study on microbial species distribution modeling using additive Gaussian processes and a 2024 case study on microflora integration using knowledge graphs. These projects highlight trends in computational biology and cross-domain data synthesis.
No scientific awards are listed. He collaborates on grants such as the VILLUM Foundation-funded DarkScience project (2022–present), focusing on metagenomic binning and microbial dark matter exploration.
Labs/teams: Active participant in the DarkScience team led by Prof. Albertsen, contributing to metagenomic data analysis and computational methodologies.
