Tags: General event


Tianming Liu

Unlock Brain Architectures to Harness AI and Model Neurologic Diseases Abstract: The human brain is an intricate generative system that segregates, integrates, and executes diverse functions seamlessly. Unlocking and representing the brain’s structural and functional architectures hold fundamental significance for neuroscience, healthcare of brain diseases, and brain-inspired artificial intelligence (AI), particularly generative AI (GenAI). This…


Departmental Orientation for all New Graduate Students


Departmental Orientation for all Teaching Assistants


Daniela M. Witten

Agenda: 3:30 - 4:00pm - Arrival 4:00 - 4:05pm - Opening Remarks, Brooks Hall 145 4:05 - 5:00pm - Lecture, Dr. Daniela Witten, University of Washington, Brooks Hall 145  5:00 - 5:30pm - Break 5:30 - 7:00pm - Dinner, Founders Memorial Garden 7:05 - 7:45pm - After Dinner Talk, Dr. Daniela Witten. Brooks Hall 145 Biography: Dr. Daniela Witten is a professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford…


Hani Safadi

Validation Criteria for Computationally Intensive Theory Construction Abstract: Computationally intensive theory construction (CITC) combines computational techniques with traditional quantitative and qualitative techniques to identify patterns in data and generate theoretical insights from those patterns. While guidelines exist for methodological approaches in CITC, the open-ended and exploratory nature of the genre presents challenges in terms…


Prospective Graduate Student Visitation Day

   


Capstone Poster Session

The annual Capstone Poster Session is set for Tuesday, 23 Apr 2024, 4-5 PM.


Megan Mittelstadt


Statistics Commencement Events

This page will contain useful details regarding the Department of Statistics Commencement 2024 Ceremony and Reception, and will be updated as information becomes available.   Statistics Commencement Reception (drop-in, light refreshments served) : Thursday, May 9th, 2024, 10:00 –  11:30PM, Larry Walker Room, 4th Floor, Dean Rusk Hall Statistics Commencement Ceremony: Thursday, May 9th, 2024, 12:00 – 1:30 PM, Ramsey Auditorium, Room 213…


Jin Lu

Provable Algorithms for Machine Learning in the Wild: Mobilizing, Hierarchizing, and Adaptive Morphing Abstract: Amidst increasing data volumes, addressing large-scale machine learning challenges in environments characterized by inherent variability is crucial. Such variability impacts data collection, format, quality, computational capacity, and connectivity within cyber-physical systems, thereby shaping the development of resilient machine…
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