Martin Steinegger

Martin Steinegger is an Associate Professor in the Department of BIO at Seoul National University. His research focuses on bioinformatics, leveraging big data and machine learning algorithms to develop computational methods for analyzing genomic and proteomic data. His lab has created widely used tools such as AlphaFold2, ColabFold, Linclust, Plass, MMseqs2, and Foldseek, which have been adopted globally. His work contributes to advancing biological sciences through accessible and efficient computational solutions.

Martin Steinegger is an Associate Professor at Seoul National University, specializing in Bioinformatics and Computational Biology. His research focuses on developing computational tools for protein structure prediction, sequence analysis, and metagenomic data processing. He has contributed significantly to projects such as AlphaFold, ColabFold, and MMseqs2, which enable accurate protein folding and efficient sequence searching. His work also includes deep learning approaches for protein sequence analysis and improving taxonomic assignments in metagenomic studies. Steinegger's research emphasizes high-throughput methods for analyzing large biological datasets, enhancing our understanding of protein function and evolution.