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UID:376@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20261006T163000
DTEND;TZID=America/Los_Angeles:20261006T172000
DTSTAMP:20261005T184916Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-rose-zi
 yu-xu-%e5%be%90%e5%ad%90%e7%91%9c/
SUMMARY:UW Data Science Seminar: “Rose” Ziyu Xu (徐子瑜)
DESCRIPTION:\nPlease join us for a UW Data Science Seminar featuring UW Dig
 ital Arts and Experimental Media Ph.D. student “Rose” Ziyu Xu (徐子
 瑜) on Tuesday\, October 6th from 4:30 to 5:20 p.m. PT. The seminar will 
 be held in HCK 132.\n“Name That Move: Movement\, Machine Learning\, and 
 Interactive Performance”\nAbstract: How can bodily movement become mater
 ial for interactive sound and visuals? In this talk\, dance artist and dat
 a scientist Rose Xu 徐子瑜 will introduce Name That Move\, an open-sour
 ce toolkit for recording wearable motion-sensor data\, training personaliz
 ed movement classifiers\, and connecting live predictions to creative syst
 ems such as TouchDesigner. Drawing from her research in dance\, machine le
 arning\, and new-media performance\, Rose will trace the project’s devel
 opment from a concert-performance system into a reusable tool for artists 
 and researchers.\n\nThe session will include a live demonstration and oppo
 rtunities for audience interaction\, while also exploring the creative dec
 isions involved in teaching a machine a movement vocabulary. No programmin
 g experience is required. This work grew from Rose’s PhD research in the
  Department of Digital Arts and Experimental Media (DXARTS)\, and was deve
 loped into an open-source toolkit through two quarters of collaboration wi
 th Bryna Hazelton in the UW eScience Institute’s Data Science Accelerato
 r program.\n\nSpeaker Bio: “Rose” Ziyu Xu (徐子瑜) is a researcher\
 , choreographer\, and performer working at the intersection of dance\, new
  media arts\, and machine learning. Rejecting the dichotomy of art and sci
 ence\, she explores how shared human questions can be articulated across d
 ifferent disciplinary languages. Rather than complying with AI to generate
  or replace creative labor\, Rose designs artist-centered machine learning
  systems that deeply listen and respond to lived\, embodied experience. Ov
 er the past years\, Rose’s practice evolved from multimedia dance theate
 r toward interactive systems integrating extended reality and computationa
 l intelligence\, using the stage as a site to prototype future relationshi
 ps between bodies\, media\, and computation. Across these works\, Rose inv
 estigates how digital systems might engage embodied experience without era
 sing agency\, ambiguity\, or care.\n\n\nThe 2026-2027 seminars will be hel
 d in person\, and are free and open to the public.\n\n\n\n\n\n\n
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