Data science studies have provided evidence that regulating gun ownership can save lives. However, US lawmakers still fail to follow the science.

Dr Sean Gibbons, assistant professor at the Institute for Systems Biology and a Washington Research Foundation Distinguished Investigator, discusses with Nature Computational Science how he uses computational science to gain insights into the gut microbiome and to address the major challenges of this field, as well as his advice to young LGBTQIA+ scientists.

Accurate structural brain connectivity estimation is key to uncovering brain–behavior relationships. ReAl-LiFE, a GPU-accelerated approach, is applied for fast and reliable evaluation of individualized brain connectomes at scale.

An efficient algorithm is proposed to integrate large-scale microbiome datasets. This unbiased data integration method enables the identification of robust biomarkers associated with various diseases through assessing shifts of microbial network modules.

A deep neural network method is developed to learn the mapping function from atomic structure to density functional theory (DFT) Hamiltonian, which helps address the accuracy–efficiency dilemma of DFT and is useful for studying large-scale materials.

A probabilistic generative model for aptamers called RaptGen is introduced, which accelerates the process of aptamer development by generating new aptamer sequences.

Accurate structural brain connectivity estimation is key to uncovering brain–behavior relationships. ReAl-LiFE, a GPU-accelerated approach, is applied for fast and reliable evaluation of individualized brain connectomes at scale.

An adversarial domain translation framework is presented for scalable integration of single-cell atlases across samples, technical platforms, data modalities and species.

An efficient algorithm is proposed to integrate large-scale microbiome datasets. This unbiased data integration method enables the identification of robust biomarkers associated with various diseases through assessing shifts of microbial network modules.

Weight-sharing is used to accelerate and to effectively pretrain neural network-based variational Monte Carlo methods when solving the electronic Schrödinger equation for multiple geometries.

Gender inequality has been the unspoken truth, rampant for centuries. Although a deep-rooted cultural mindset, the inequality has reverse-translated from society into the way we study and practice science, and more currently, into the computational modeling world.

Data science studies have provided evidence that regulating gun ownership can save lives. However, US lawmakers still fail to follow the science.