Hailed for her “beautiful tone and playfulness, even Gallic charm, to the concerto for flute by Jacques Ibert.” By The Well-Tempered Ear, internationally known flutist Mili Chang received her Doctor of Musical Arts degree from University of Wisconsin-Madison in 2015 and Master of Music in Historical Performance from The Juilliard School in 2018. She has received awards and scholarships including the full scholarship from The Juilliard School (2016-2018), the winner of National Flute Association Baroque Flute competition in 2015, the concerto competition in UW-Madison, and three-year full-ride Paul Collins Fellowship (2011-2014) at UW-Madison.

A versatile performer, Mili specializes not only standard classical repertoire but also in the historical performance practice at 16th - 18th century baroque and classical music, as well as contemporary music. She has performed with many ensembles including Juilliard Baroque Orchestra (J 415), Bach Vespers of Holy Trinity church, St. Peter’s Church of NYC Baroque orchestra, Sheboygan
Symphony Orchestra, Chamber Philharmonic Taipei, UW-Madison orchestras,Helios woodwind quintet, The Nunc contemporary music ensemble, and many others. She has appeared at the Boston Early Music Festival, the Philharmonia Baroque Orchestra & Chorale, the Paracademia contemporary music group, the Bohemian New York Musicians Club, the Saint Andrew Music Society, the Music Before 1800 concert series, the Gotham Early Music Scene, the Bach Society of Charleston, the Opera Composer Collaborative Project at National Sawdust, and the New York Flute Club. She was also featured in WQXR and West Side Radio.

An avid educator, Mili has experiences teaching in both classroom and individual settings with a wide range of ages. She efficiently applies appropriate methods to teach students to focus on not only the essential techniques and knowledge, but
also to nurture their musicianship and creativity. She teaches flute performance, woodwind chamber ensembles, keyboard, music theory, music appreciation, and ear training.