Summary
Donya Quick is a research engineer and computer scientist with 13 years of experience at the intersection of AI, programming languages, and computer music. She has led and contributed to MUSICA-style projects at institutions including Stevens Institute, Yale, and Galois, developing novel parsing, knowledge representation, and interactive music systems that enable music creation via natural language. Equally at home in code and composition, she composes algorithmic and hand-written music and applies her research to generative music systems. Donya holds advanced degrees from Yale and SMU and brings a multidisciplinary approach that blends cognitive modeling, functional language design, and creative practice. Beyond software, she’s also an origami designer and published author, illustrating a practical curiosity for algorithmic form and craft.
13 years of coding experience
4 years of employment as a software developer
Associate of Arts (A.A.), Science, Associate of Arts (A.A.), Science at Lord Fairfax Community College
Doctor of Philosophy (Ph.D.), Master of Science (M.S.), Master of Philosophy (M.Phil), Computer Science, Doctor of Philosophy (Ph.D.), Master of Science (M.S.), Master of Philosophy (M.Phil), Computer Science at Yale University
Master of Science (M.S.), Bachelor of Science (B.S.), Computer Science (M.S., B.S.), Environmental Science (B.S.), Master of Science (M.S.), Bachelor of Science (B.S.), Computer Science (M.S., B.S.), Environmental Science (B.S.) at Southern Methodist University