Research

Overview

My work aims to develop computational models of the processes involved in collective creativity and cultural evolution, and to examine Human-Computer Interaction in order to identify ways in which technology can be leveraged to support creativity both in individual and collaborative settings.

I utilize data science, machine learning, statistical modeling, and social network analysis to explore the multifaceted dimensions of human-computer interactions and to identify ways to design technical tools and platforms that can support creative expression and collaboration, with a particular focus on music.

Creativity and AI

I examine how AI technologies can be leveraged to support human creativity, particularly through the development of new creative practices and forms of expression.

Collaborative Creativity in Socio-Technical Systems

I am particularly interested in examining the dynamics of co-creative behaviors within socio-technical systems. My work leverages digital trace data to investigate how distributed creativity emerges as individuals extend and build on existing knowledge within a domain.

Novelty and Cultural Evolution

Using computational methodologies, I measure novelty in the aural and lyrical attributes of cultural artifacts such as songs, and examine relationships between novelty and the likelihood of commercial success.

Digital Music Instrument Design

I have explored how we can use technology to expand existing paradigms of music creation by developing a wearable system that allows a user to create and manipulate sound through gestural movements.