Martin Steinegger

Track 5 | Advanced methods, data and analyses to understand living systems | Seoul National University, KR

Dr. Steinegger is an Assistant Professor in the biology department at the Seoul National University. His lab combines high performance algorithms with machine learning to solve fundamental problems in the biomedical field.
He studied bioinformatics and computer science at the Technical University Munich (TUM) and Ludwig Maximilian University of Munich. At the Max Planck Institute for Biophysical Chemistry he worked on computational methods to assemble, cluster and annotate metagenomic sequencing data. For this work he received his Ph.D. in Computer Science from the TUM. As a Postdoc at Johns Hopkins University, he developed methods for the identification of pathogenic agents in infectious diseases, the detection of assembly contamination in public datasets and the annotation of missing exons in the human proteome. Dr. Steinegger is an expert on large scale sequence data analysis and method development and an advocate for open science and open source.

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