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Martin Steinegger
Associate Professor at Seoul National University
Martin Steinegger is an Associate Professor at Seoul National University's School of Biological Sciences. Here are some key details about his background and work:
Education and Career
- Dr. Steinegger received his Ph.D. in Computer Science from the Technical University of Munich in 2018.14
- He completed postdoctoral research at Johns Hopkins University School of Medicine from 2018 to 2020.3
- He joined Seoul National University as an Assistant Professor in March 2020.3
- In March 2024, he was promoted to Associate Professor (tenured) at Seoul National University.23
Research Focus
Dr. Steinegger specializes in bioinformatics and computational biology. His research involves:
- Developing computational methods combining big data algorithms and machine learning to analyze genomic and proteomic data.2
- Creating tools for protein structure prediction, sequence analysis, and structure analysis.2
- Working on assembly, clustering, pathogen detection, and homology search methods for metagenomes/genomes.35
Notable Contributions
- He has contributed to the development of widely-used tools like AlphaFold2, ColabFold, MMseqs2, and Foldseek.2
- His lab's tools have been installed over 800,000 times and used over 10 million times through web services.2
- He is known for his work on large-scale sequence data analysis and method development.4
Dr. Steinegger is also an advocate for open science and open-source software.4 His work aims to accelerate biological science by developing fast and user-friendly computational methods for analyzing complex genomic and proteomic data.