Katharina Maisel, part of the UMD microbiome center, recently co-authored a study on a rare lung disease that progressively blocks oxygen flow.

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.

New UMD-led study reveals that observing others in pain, even digital avatars, can affect how we feel pain ourselves.

Han Shao studies the theoretical foundations of machine learning algorithms, including challenges like hallucination and model collapse in large language models.

Jordan Boyd-Graber envisions artificial intelligence systems enhancing, not replacing, humans.

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.