Convergence Seminar
Martin Steinegger, PhD
Dr. Steinegger is an Associate Professor in the Biology Department at the Seoul National University, with a joint appointment to the Interdisciplinary Program in Bioinformatics. He conducted his doctoral studies at the Max Planck Institute for Biophysical Chemistry and was awarded a Ph.D. in computer science with summa cum laude honors from the Technical University Munich in 2018, followed by a postdoctoral fellowship at Johns Hopkins University School of Medicine. Dr. Steinegger’s work covers a wide range of topics in bioinformatics, from detecting genomic assembly contamination to organizing the protein structure universe. He was awarded the Overton Prize for outstanding contributions to computational biology by the International Society for Computational Biology in 2024 and was named a Clarivate Highly Cited Researcher (2024, 2025).
He started his research group in 2020, focusing on the development of methods to analyze massive genomics and proteomic datasets. The group’s contributions to bioinformatics include widely used tools for predicting structures (ColabFold), clustering (Linclust), assembling (Plass), and searching sequences (MMseqs2) and protein structures (Foldseek). His group’s software and web services have been installed and used millions of times.
Details
Contact(s)
The Convergence Seminar is organized by Gladstone’s Institute for Data Science and Biotechnology. This seminar series brings together scientists from varying disciplines to solve complex scientific questions and accelerate the path to cures.
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.