About
01 

Open Articulations
MFA Thesis 
Rhode Island School of Design

Open Articulations proposes new strategies for mapping, archiving, and understanding territories through a practice focused on mindful presence, play, and physical immersion. In making participatory archives of our experiences, it opens a collective space for multiple voices to be heard, allowing new entrypoints into a territory, and offering new ways of understanding a place, each other, and ourselves.

︎︎︎Digital Version (PDF)

︎Participatory Design, Regenerative Design, Systems Thinking, Unsmoothing

02

Kinesthetic 
Rhode Island School of Design

︎Book Design, Photography


03

Data-driven seed sharing
SeedLinked

How can we unflatten, juxtapose, and reveal the multiple stakeholder perspectives in the agri-food supply chain to offer a more authentic experience? 

︎︎︎Digital Version (PDF)

︎Data Science, Food Systems, Innovation Design



04

Blossoming Fashion Conversation
Exhibition at Somerset House (London)
Collborated with Holition, British Fashion Council, and Google

︎︎︎Digital Version (PDF)

︎Data Science, Sustainability



05

Hungary 
Two tone, Information Design
Rhode Island School of Design

︎Book design



06

Sketchy
Creativity support tool
Brown University

︎︎︎Feature analysis (PDF)
︎︎︎Summary (PDF)

︎Computer interaction



07

Predicting Household Income In NYC
Data science project
Collaborators:  Yiwen Shen and Zhiwei Zhang
Brown University

︎︎︎Read report
︎︎︎Code on Github





THE ETHICS OF SELF-TRACKING  

While the emergence of self-tracking devices presents numerous health benefits (e.g. sleep monitoring and “lab on a chip blood sensors”), it also raises important concerns as to how the data is being used and who is using it.
        In this essay, I provide a summary of the book “Self-tracking” by Gina Neff and Dawn Nafus and discuss the key ethical issues at hand with regards to the practice—privacy, data access, transparency, and commercial exploitation—in context with my research and class discussions.

Date: 2018
Client: Self
Class: Data and Society, Brown University
Instructor: Roger Blumberg, PhD 
Data Science, Data Ethics



︎︎︎Read report (Download PDF)