Events Calendar
- September
- September 10Introducing ML+X Nexus – Your Gateway to Collaborative Machine Learning and AI Resources!Machine Learning Beyond Traditional CS Fields12:00 PM, Orchard View Room, Discovery Building
Also offered online - September 10Graduate Applied Math SeminarMartin Guerra - Introduction to diffusion models: theory and application4:00 PM, B223 Van Vleck Hall
- September 11
- September 11
- September 12Applied Algebra SeminarEmily King (Colorado State) - Old is New Again: Group Actions and PCA in Data Science11:00 AM, 901 Van Vleck Hall
- September 12
- September 13
- September 13Applied and Computational Math SeminarNan Chen (UW) - Uncertainty Quantification (UQ) for Beginners2:25 PM, 901 Van Vleck Hall
- September 13Geospatial Data Science Seminar with Dr. Krzysztof JanowiczGeoMachina: What Designing Artificial GIS Analysts Teaches Us About Place Representation3:30 PM, 180 Science Hall
- September 16Research Cyberinfrastructure Virtual Office Hours (FREE and Online)Learn about ResearchDrive, Research Object Storage (S3), Electronic Lab Notebooks, Data Science Platform, Cloud Services1:00 PM, Online
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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 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.