معرفی
Prof. Dr. Mario Stanke is a Professor of Bioinformatics at the Institute of Mathematics and Computer Science, University of Greifswald, Germany. He leads a research group focused on probabilistic models, machine learning, and algorithm development for genome annotation and biological sequence analysis.
His research interests lie in probabilistic models and machine learning methods for structured biological data. He specializes in developing and applying recurrent neural networks, conditional random fields, and hidden Markov models for tasks such as gene prediction, genome annotation, and multiple sequence alignment. His work is instrumental in advancing computational tools for genomics.
His most notable contributions include the development of the AUGUSTUS gene prediction program and the BRAKER pipeline, both widely used in the bioinformatics community. His recent publications demonstrate a strong trend in integrating deep learning with traditional statistical models for protein and genome analysis, particularly in multi-genome and comparative annotation frameworks.
Scientific Awards:
- No scientific awards mentioned in the provided text.
Advising and Grants: Prof. Stanke supervises bachelor's and master's theses in bioinformatics and computational genomics. While specific grants are not listed, his long-standing research output and leadership in major genome projects suggest active grant funding. He collaborates widely across institutions, as evidenced by co-authorship in large-scale genomics consortia.
Labs and Teams: He leads a bioinformatics research group at the University of Greifswald, contributing to the development and maintenance of the AUGUSTUS and BRAKER software suites. The group operates a bioinformatics web server providing gene prediction services and tools.
