Dominik Heider

Dominik Heider

Prof. Dr. Dominik Heider

Department of Mathematics and Computer Science
Hans-Meerwein-Straße 6, 35032 Marburg
+49 6421 28 21579

Research Area

The main focus of the research in the Heider Lab is set on the development of computational solutions from the field of Data Science for solving biomedical problems, e.g., machine learning algorithms for predicting drug resistance of pathogens or for modeling of diseases. In another main part of our research, we aim to develop new methods and algorithms for analyzing (meta-)genomic and (meta-)transcriptomic data of microorganisms, as well as genome assembly and functional annotation. Since NGS technologies have great potential in biomedical research but data processing is still limited by computational power, we further investigate techniques based on high-performance computing.


machine learning
clinical informatics
data science
predictive modeling
biomarker discovery
next-generation sequencing
pathogen resistance

Recent Publications, Last 3 Years

1. Schwarz J, Heider D (2019) GUESS: Projecting Machine Learning Scores to Well-Calibrated Probability Estimates for Clinical Decision Making. Bioinformatics 35(14): 2458–2465.

2. Spänig S, Heider D (2019) Encodings and models for antimicrobial peptide classification for multi-resistant pathogens. BioData Mining 12:7.

3. Löchel HF, Eger D, Sperlea T, Heider D (2020) Deep Learning on Chaos Game Representation for Proteins. Bioinformatics 36(1): 272–279.

SYNMIKRO Young Researchers Groups

Almost all scientific members of SYNMIKRO are actively involved in DFG’s Collaborative Research Centers (Sonderforschungsbereiche), Research Training Groups (Graduiertenkollegs), or other Cooperative Research projects. Alongside performing adventurous experiments, and reporting excellent science, SYNMIKRO substantially promotes potential Young Research Group Leaders by constantly keeping its doors open to welcome and support Young Researchers planning to set up an Independent Research Group.
Our Young Research Groups