cls663 @ nyu dot edu ~ (they/she) ~ CV

I’m an artist, designer, educator, and PhD student at NYU Steinhardt in Educational Communication and Technology. My research interests lie at the intersection of art, design, technology, education, psychology, and critical studies — yes, I’m very interdisciplinary! I’m passionate about mental health, identity, and self-expression, and I use design-based and participatory methods to study how these experiences are shaped by interdisciplinary creative cultures and practices. In my dissertation work, I’m exploring how artistic computing practices affect young peoples’ orientations towards higher selves and purposes.

My background is in Interdisciplinary Art & Media Studies and Human-Computer Interaction. Beyond my studies at NYU, I work as an educator at the Metropolitan Museum of Art.

Ongoing

touchBase

a tangible programming language

2024 - present

RQ: How can crossmodal and sociocultural design elements enhance the learning outcomes of tangible programming languages?

Keywords: tangible interfaces, computer science education, creative expression, visual representation, culturally-sustaining pedagogy

Immersive Art Protection Plan

a body of art-based research

2022 - present

RQs: How can we prevent immersive art from being psychologically weaponized? Is it possible to do so without limiting creative freedom?

Keywords: virtual reality, immersive art, futurism, fascism, dark patterns

NeuraFutures

an installation about brain-computer interfaces

2020 - present

RQs: What can science fiction help us understand about brain-computer interfaces? How can public art spaces be useful for scientific communication?

Keywords: brain-computer interfaces, science fiction, exhibit design, informal learning, ethics of technology

Previous

DynaTags

dynamic AR markers for enhanced tangible interactions

2021 - 2022

RQs: Can fiducial markers be dynamic? How would this extend the modalities of tangible experiences?

Keywords: tangible interaction, paper interfaces, shape changing, augmented reality, computer vision