2010-2014 B.Sc. in Bioinformatics, Ludwig Maximilian University of Munich & Technical University of Munich, Germany
2014-2016 M.Sc. in Computer Science, Ludwig Maximilian University of Munich, Germany
2017-2022 Ph.D. (Dr. rer. nat., summa cum laude), University of Gottingen & Max Planck Institute for Multidisciplinary Sciences, Germany
2022-2025 Postdoctoral Researcher, Seoul National University, Korea
2026~present. Assistant professor, Department of Precision Medicine, Sungkyunkwan University School of Medicine, Korea.
주요관심연구
저희 연구실은 빠르고 정확하며 활용 가능한 생물정보학 및 머신러닝 기법을 통해, 생명과학과 의생명 분야의 새로운 발견을 앞당기는데 사명을 두고 있습니다.
이를 위해 대규모 생물학적 데이터 분석을 가능하게 하는 오픈소스 기반의 메타유전체 분석, 고속 구조 탐색, 클러스터링, 단백질 구조 예측 방법을 개발하고 있습니다
대표연구업적
GPU-accelerated homology search with MMseqs2
Felix Kallenborn*, Alejandro Chacon*, Christian Hundt, Hassan Sirelkhatim, Kieran Didi, Sooyoung Cha, Christian Dallago†, Milot Mirdita†, Bertil Schmidt†, and Martin Steinegger†. Nature Methods (2025)
Easy and accurate protein structure prediction using ColabFold
Gyuri Kim, Sewon Lee, Eli Levy Karin, Hyunbin Kim, Yoshitaka Moriwaki, Sergey Ovchinnikov†, Martin Steinegger†, and Milot Mirdita†. Nature Protocols (2025)
Clustering predicted structures at the scale of the known protein universe
Inigo Barrio-Hernandez*, Jingi Yeo*, Jurgen Janes, Milot Mirdita, Cameron L. M. Gilchrist, Tanita Wein, Mihaly Varadi, Sameer Velankar, Pedro Beltrao, and Martin Steinegger†. Nature (2023)
Foldcomp: a library and format for compressing and indexing large protein structure sets
Hyunbin Kim, Milot Mirdita†, and Martin Steinegger†. Bioinformatics (2023)
ColabFold: making protein folding accessible to all
Milot Mirdita†, Konstantin Schutze, Yoshitaka Moriwaki, Lim Heo, Sergey Ovchinnikov†, and Martin Steinegger†. Nature Methods (2022)
https://mirdita.org
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