Alexander Wang

Hi! I'm Alex, a PhD student in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, working with Professors David Lindlbauer (Augmented Perception Lab) and Chris Donahue (Generative Creativity Lab).

Generative AI's growing ability to generate and transform multimedia content, even at runtime, opens up new possibilities for dynamic, interactive, and responsive forms of art and storytelling. My research explores these possibilities across three complementary areas: advancing computational methods for media generation, transformation, and interaction; developing creator control mechanisms and authoring tools that enable creators to express their creative intent, shape how media responds and evolves, and maintain control over its behavior across diverse runtime contexts; and understanding audience experiences by studying how people experience and engage with these emerging forms of media, including their preferences, expectations, and concerns. My work in adaptive music has been published at premier HCI venues including ACM CHI and UIST, with a Best Paper Honorable Mention at CHI 2024.

Previously, I was a research scientist intern at Adobe Research with Mackenzie Leake and a visiting researcher at the University of Michigan with Dhruv Jain. I hold an MS in Music and Technology from CMU, and a BS in Interactive Media Arts from NYU Shanghai, where I also minored in Computer Science, Game Design, and Music.