Mathematical and Statistical Aspects of Molecular Biology Annual Meeting (MASAMB)

Mathematical and Statistical Aspects of Molecular Biology (MASAMB) is an annual meeting dedicated to the development and application of mathematical, statistical, and computational methods in the biosciences.

With the growth of large-scale genome sequencing initiatives and the increasing availability of high-throughput technologies—including gene expression, proteomics, metabolomics, and single-cell genomics—as well as advances in genome assembly, annotation, and the recovery of genomic data from historical and ancient samples, the field has entered a transformative era.

These developments are generating unprecedented volumes of genomic data, particularly from non-model and ecologically important species, opening exciting opportunities for numerate scientists to develop and apply new analytical tools.

The meeting typically gathers 80–120 participants from a range of disciplines, including mathematics, statistics, computer science, bioinformatics, and the life sciences. It provides an intimate and friendly setting for sharing methodological advances and applied research in molecular biology.

In addition to MASAMB’s traditional focus on statistical genetics and computational genomics, this year we particularly welcome submissions in biodiversity genomics, historical and ancient genomics as well as phylogenomics, and population genomics. We are keen to see both method development and applied work that addresses real-world challenging biological questions, especially where these intersect with advances in AI and machine learning, statistical phylogenetics, evolutionary modelling, and comparative genomics.

As always, MASAMB remains a broad and inclusive forum for sharing ideas across the full spectrum of mathematical and statistical approaches in the biosciences. We especially welcome contributions from early-career researchers and scientists new to the field.

Further information and past programmes can be found at the MASAMB archive.