Mission
We strive to develop usable, efficient, scalable, and reproducible models, algorithms, and open-source software to enable research in evolutionary biology and beyond.
More recently, we also started to cautiously deploy machine learning and data science approaches to attain the above goal.
We also conduct research in core computer science areas such as empirical software engineering, reproducible parallel computing paradigms, energy-efficient computing, and parallel fault tolerance.
Finally, we contribute to research policy initiatives and the development of widening EU countries by operating our sister lab, the Biodiversity Computing Group (BCG) on the island of Crete in Greece via an EU ERA chair grant. BCG is currently also led by Alexis.
News
2027 Computational Molecular Evolution Summer School in Crete
Applications for the 2027 summer school on computational molecular evolution in Heraklion, Crete are now open.
Application deadline: November 2nd, 2026
RAxML-NG 2
The latest version of RAxML-NG 2, featuring integrated model selection, adaptive search heuristics, and fast branch support metrics, can be found at Oleksiy's Codeberg repository.
RAxML-NG questions, help & bug reports: please use the RAxML Google group.
The respective paper can be found here.
KIT Students
We are always looking for student programmers (HiWis) and students interested in conducting their Bachelor's or Master's thesis projects with us. If you are interested, please send an email to Alexis.