News

Heng Huang leads the project’s artificial intelligence and machine learning efforts and plans to build an innovative large genomic language model for Alzheimer’s that will drive drug discovery for the disease.

NIH-funded effort led by Mihai Pop develops open-source tools and safeguards the integrity of bioinformatic analytics.

Marcus Fedarko develops software to assemble and visualize metagenomic data, helping researchers untangle microbial genomes and reveal hidden patterns.

A new nationwide study is recruiting volunteers to map the full spectrum of human flatulence.

Can Firtina’s research focuses on actionable solutions to improve human health.

The NSF-funded project leverages AI and diverse environmental data to better predict and manage wildfires.

UMIACS Postdoc Kyle Brumfield is using DNA sequencing and other technologies to study how environmental factors like climate can impact waterborne pathogens.

The event will focus on discrete algorithms and machine learning tools that can address important challenges in molecular biology.

The award supports the development of advanced computational methods to uncover deeper insights into species’ evolutionary relationships.

Kyle Brumfield and Rita Colwell are developing a forecasting system that can predict the risk of coming into contact with Vibrio bacteria.