Data Science @ UW
Connecting people with data science research, education, and collaboration at UW-Madison

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Seminars Listing

Scroll down to learn about the many data science-related seminars, forums, and talks at UW–Madison. For seminar times, locations, and other details, click on the links. If you would like to add a data science-related seminar to this list, please contact us.

Applied Algebra Seminar

The Applied Algebra Seminar is a fortnightly seminar that welcomes participants with applied algebra interests. A brief 5-10 minute social time precedes each event, and all are welcome to join.

Applied and Computational Mathematics Seminar (ACMS)

The ACMS meets weekly. Talks cover a broad range of applications of mathematics and computation in domains such as fluid dynamics, biology, biochemistry, topology, and data science.

Biostatistics and Medical Informatics (BMI) Seminars

The BMI department hosts a weekly seminar that often features data science and machine learning methodologies applied to image analysis, genomics, computational biology, and population studies.

CDIS Red Talks

RED Talks are a CDIS (School of Computer, Data & Information Sciences) event series designed to advance learning at the intersection of technology and humanity. RED Talks feature academic and industry leaders sharing their work and offering insights into topics that are often interdisciplinary and always cutting edge.

Computation and Informatics in Biology and Medicine (CIBM) Seminars

The CIBM seminar brings together CIBM trainees and trainers, as well as other interested faculty and students, for cross-disciplinary exposure to current research in computer science, biostatistics, engineering, biological sciences, and medicine.

HAMLET Seminar Series

HAMLET (Human, Animal, and Machine Learning: Experiment and Theory) is an interdisciplinary proseminar series that started in 2008. The goal is to provide behavioral and computational graduate students with a common grounding in the learning sciences.

ML+X Forum

This monthly forum features lightning talks and group discussions on real-world applications of ML. Each forum highlights two ML applications that share a theme, followed by communal discussion and project feedback.

Machine Learning Lunch Meetings

At these weekly meetings, faculty members from Computer Science, Statistics, Electrical and Computer Engineering, and other departments discuss their latest research in machine learning. This is an opportunity to network with faculty and fellow researchers while learning about cutting-edge research at UW–Madison.

Machine Learning for Medical Imaging (ML4MI) Seminars

This regular series includes seminars describing technical developments in ML with potential biomedical applications, and seminars led by radiology and other biomedical researchers highlighting ML applications in their fields of study.

Machine Learning and Physics Seminars

The Physics Department hosts two seminars focused on machine learning: the (roughly) monthly Machine Learning and Physics in-person seminar and the Physics meets ML online seminar series.

Statistics Seminars

The Statistics Department hosts regular seminars on a variety of statistics-related topics.

Systems | Information | Learning | Optimization (SILO) Talks

The SILO research group hosts a weekly seminar that covers a variety of topics related to machine learning, optimization, and information theory. SILO breaks down the research “silos” created by academic department boundaries by providing time and space for researchers to present their work, interact, and find common threads.