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About Meiying

       Miya is a multitalented girl who recently graduated from a BSc. (Statistics) & BMus. (piano concentration) Dual Degree (under Professor Amanda Chan) from the University of British Columbia. Starting 2023 Fall, she would be pursuing her Masters studies in Music Technology at New York University, where she would continue to use data science tools to conduct music performance, engagement, and perception research.

 

       Miya started her musical journey at the age of 4. Her piano teacher, Zhuo Li, has since then become her mentor and deeply influenced how she views the world. She received her Level 10 certification for piano by both The Music Examination Committee of the Chinese Musicians Association and Grading Committee of China Conservatory at the age of 12. Although she was accepted into the top high school in Shanghai, she decided to start a journey in Canada where she discovered her love in music. Upon entering UBC, she received the Outstanding International Student Scholarship and the S. Cyril Maplethorp Memorial Scholarship in Music, to name a few. She was the only approved undergraduate "Non-Degree Private Piano Teacher" by the UBC School of Music in 2019 and remained active on the UBC teaching list in recent years. Miya’s piano pedagogy blends solid techniques with unlimited musicality that would allow her students to express themselves through music.

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       In Summer 2019, she worked as a Research Assistant in the UBC School of Music for Dr. Ève Poudrier's Project on "Rhythmic Computation and Cognition". In Winter 2020, she worked as a full-time undergraduate teaching assistant in the Department of Statistics at UBC. In Summer 2021, she collaborated with Dr. James V. Zidek and Dr. Jiahua Chen in the Forest Product Modelling Group, and wrote an R package to assist the calculation of lumber strength in the long-term monitoring program. She initiated an interdisciplinary collaboration with Dr. Leigh VanHandel between data science and music, specifically how machine learning models can reveal influential musical characteristics in a tempo determination process. She presented the resulting poster at the 2022 Society of Music Perception and Cognition Conference in Portland. She found a whole new world of Music Information Retrieval and have been collaborating with an incredibly resonating cohort from NYU since then. 

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      Last but not least, she is also a Duke of Edinburgh's Silver Award recipient, and a Gold Five-Star Level Latin Dancer. Her hobbies range widely from going to a Hackathon to learning the flute. Passion above all else is what motivates her and keeps her focused.

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