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Zeying Zhu headshot

Rethinking Cloud Telemetry for Performance and Scale

Zeying Zhu is developing efficient, high-performance cloud telemetry systems that help engineers monitor large-scale services at lower cost.

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Jordan Boyd-Graber smiles and gestures while seated in front of a screen displaying the logo for "TRAILS: Trustworthy AI in Law & Society" and a whiteboard with handwritten notes.

Improving AI-Human Interaction

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

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Marcus Fedarko stands in front of a window.

UMD Alum Returns as UMIACS Postdoc to Tackle Microbiome Complexity

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

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researchers demonstrate smart underwear

UMD Scientists Create ‘Smart Underwear’ to Measure Human Flatulence

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

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Lines of musical notes twist across an orange gradient background

Music-Savvy AI Built at UMD Could Help You Discover Your Next Favorite Artist

UMD researchers, with NVIDIA and Universal Music Group, developed Music Flamingo, an AI that understands music like a trained musician.

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Han Shao headshot

Machine Learning Theorist Tackles Limits of AI Algorithms at UMIACS

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

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hands holding soil

Uncovering the Role of Microbes in Soil

UMD researchers are exploring how the diverse microbial communities in soil can affect agricultural output, the environment, and human and animal health.

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Can Firtina headshot

Computational Biology and Computer Architecture Expert Joins UMIACS

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

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Portrait of Yaodong Yu

Yaodong Yu

Assistant Professor
Trustworthy Machine Learning
TRAILSCon 2026 Evaluating AI March 4-5, 2026
- 8:30AM - 4:00PM

TRAILS Con 2026: Evaluating AI

Register to join AI practitioners, researchers, and thought leaders for our two-day annual conference at The George Washington University in Washington, D.C.

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