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The University of Maryland assistant professor discusses her path into computer science, research on large language models and advice for students entering the field.
Sarah Wiegreffe , an assistant professor of computer science at the University of Maryland, studies how deep learning systems for language operate and how their behavior can be interpreted. Her research focuses on interpretability in...read more
Students and employers met at the Adele H. Stamp Student Union for the Spring Career and Internship Fair to discuss internships, full-time roles and workforce expectations in the tech sector.
Students carrying resumes and portfolios moved between employer tables at the Adele H. Stamp Student Union on Monday, February 23, as the University of Maryland Department of Computer Science organized its Spring Career and Internship...read more
CS PhD student Kasra Torshizi, mentored by Associate Professor Pratap Tokekar, contributes to AI-driven advances in machine learning, computer vision, and autonomous systems research at UMD’s MATRIX Lab.
University of Maryland (UMD) MATRIX Lab researchers are proving that real-world challenges can be solved with cost-effective research that efficiently uses resources. MATRIX Lab graduate students Ryan Lowe (M.Eng. ’26, Robotics) and Jacob Safeer (M.S...read more
Inside the lab where researchers investigate how bodies, senses and technology work together to shape learning.
At the University of Maryland’s Department of Computer Science, researchers in the Embodied Dynamics Laboratory explore how technology interacts with the human body and mind. Led by Assistant Professor Jun Nishida , the lab studies...read more
UMD computer science Professor 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.
The National Institutes of Health awarded $12.5 million over five years to support an initiative that uses artificial intelligence (AI) and machine learning (ML) to quickly search vast stores of genomic, biomarker, and cognitive data...read more
The past decade has seen explosive growth in the collection and use of metagenomic data—genetic material (DNA or RNA) extracted directly from environmental or clinical samples such as soil, water or the human gut. While...read more
UMD Ph.D. student Geonsun Lee leads “Sensible Agent” project with Google Research to examine proactive AR assistants designed to adapt to real-world context.
When digital assistants first appeared on personal computers, they often waited for users to type a command or click a button. As wearable technologies move closer to everyday use, researchers are asking a different question:...read more
In an era where microbiome research reveals significant insights into human health, ecosystems and disease, researchers face a central challenge: making sense of fragmented sequencing data. They must piece together millions of DNA fragments to...read more
Upcoming Events
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02.27.2026 12:00 to 13:00
Readout-Free Majority Decoding via Asymmetric Rydberg Antiblockade
ATL 2400
Readout-Free Majority Decoding via Asymmetric Rydberg Antiblockade
03.03.2026 12:30 to 13:30
Mesh Messaging for Large-Scale Protests: Cryptography Alone Won't Save Us
5105
Mesh Messaging for Large-Scale Protests: Cryptography Alone Won't Save Us
03.04.2026 11:00 to 12:00
Entangling logical qubits without physical operations
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/5972416689
Entangling logical qubits without physical operations
03.06.2026 12:00 to 13:00
Symmetry-Protected Quantum Control of Ultracold Chemical Reactions
ATL 2400
Symmetry-Protected Quantum Control of Ultracold Chemical Reactions
03.11.2026 13:00 to 14:00
Efficient classical algorithms for quantum Gibbs states up to phase transitions
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/91905196295?pwd=8Q3MlSG4HqkeVz2tSaVuUd50hcx1jQ.1 Meeting ID: 919 0519 6295 Passcode: 759102
Efficient classical algorithms for quantum Gibbs states up to phase transitions
03.13.2026 12:00 to 13:00
Disclinations, Dislocations, and Emanant Flux at Dirac Criticality
ATL 2400
Disclinations, Dislocations, and Emanant Flux at Dirac Criticality
03.25.2026 11:00 to 12:00
Robust state certification from simple measurements
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/91497937249?pwd=3KQXRPWoCxzvrF3P5LMQgHxEUiayji.1 Meeting ID: 914 9793 7249 Passcode: 078601
Robust state certification from simple measurements