Biography:

Mei Mei Chang has exhibited her work in over 30 group exhibitions and several solo exhibitions since the late 1990's. Her work is in national and international collections.
She is a photographer, painter, and graphic designer.

Mei Mei received her Master of Fine Arts in Photography from Ohio University. She served as resident artist at Great River and at Vermont Studio Center. She has been a part of collaborative art projects, including “Carry on Drawing International” and “Print Exchange Collection.”

As a mixed media artist, Mei Mei explores various media to bridge her internal and external worlds. She is a lifelong student of the human psyche, fascinated by the mind's ability to focus on details great and small without limits. Using her internal symbols, she creates rich visual images that are both highly personal and reachable by all.

Artist Statement:


“As an artist, I’ve always been drawn into the depth and the mysterious side of the psyche. This is the source of my art and I can only express it in a language that transcends words.
My work consists of multilayered and patterned surfaces that I use as topographical maps of the mind. My internal landscape has its own appearance, colors, attractions and distractions. Among the many symbols of my mind is the awareness of similarities and differences between Eastern and Western cultures. There are connections between internal symbols and connections which stretch out to the external. I believe that there is as much to uncover beneath the surface as to discover on the surface. Our minds occupy a space between the conscious and the subconscious; my work encompasses what is beneath the awareness of consciousness and beyond the passive knowing of subconsciousness, and brings it to life.
Another aspect of the human mind that I explore is its freedom from the boundaries of macro and micro scales and its power of infinitesimal infinitude. My work is a place for the mind to move without limits, from the work as a whole down through layers of ever more granular complexity.”