pond
a living journal for mindful practice
Mar-2025 to Present
︎ Independent
︎︎︎ Concept, Link
[[]] local-first, mindfulness, self-growth
pond is a digital journal designed to nurture mindful growth through cycles of reflection, intention, and action.
It is also a space inhabited by Innio, a digital being who acts as a gentle listener and guide, connecting you locally and privately to timely insights—often drawn from ancient wisdom—to support your personal transformation.
︎︎︎ Concept, Link
[[]] local-first, mindfulness, self-growth
pond is a digital journal designed to nurture mindful growth through cycles of reflection, intention, and action.
It is also a space inhabited by Innio, a digital being who acts as a gentle listener and guide, connecting you locally and privately to timely insights—often drawn from ancient wisdom—to support your personal transformation.
desci nodes
a radically open scientific publishing platform
Apr-2023 to Jul-2024
︎ DeSci Labs
︎︎︎ Link
[[]] decentralized-science, tokenized-peer-review
As Design Technologist at DeSci Labs, I developed and designed the core concepts and interfaces of DeSci Nodes, a radically open publishing platform built on IPFS, enabling researchers to seamlessly publish papers, code, and data as transparent, version-controlled “Research Objects”.
Additionally, I designed the user interactions for a forthcoming decentralized, cryptoeconomic peer review system, empowering scientific communities to collaboratively create, administer, and award transparent badges—transforming traditional peer review into an open, community-driven process.
︎︎︎ Link
[[]] decentralized-science, tokenized-peer-review
As Design Technologist at DeSci Labs, I developed and designed the core concepts and interfaces of DeSci Nodes, a radically open publishing platform built on IPFS, enabling researchers to seamlessly publish papers, code, and data as transparent, version-controlled “Research Objects”.
Additionally, I designed the user interactions for a forthcoming decentralized, cryptoeconomic peer review system, empowering scientific communities to collaboratively create, administer, and award transparent badges—transforming traditional peer review into an open, community-driven process.
trails.social
A customisable and interpretable feed algorithm for mindful social media exploration.
Sep-2022 to Nov-2022 (8 weeks)
︎ Roote Foundation
︎︎︎ Concept, Github, Demo
[[]] human-in-the-loop,
personalised-feeds,
context-aware-navigation
trails.social offers an alternative to how we find and engage with content on social media by providing customizable feeds that align with our personal interests—letting us easily tune in or step away whenever we like.
Behind the scenes, trails analyzes and organizes social connections and content into a structured network called a :social knowledge graph”, enabling transparent, understandable recommendations that put users fully in control.
Development ceased after Twitter restricted access to its API for third-party clients.
︎︎︎ Concept, Github, Demo
[[]] human-in-the-loop,
personalised-feeds,
context-aware-navigation
trails.social offers an alternative to how we find and engage with content on social media by providing customizable feeds that align with our personal interests—letting us easily tune in or step away whenever we like.
Behind the scenes, trails analyzes and organizes social connections and content into a structured network called a :social knowledge graph”, enabling transparent, understandable recommendations that put users fully in control.
Development ceased after Twitter restricted access to its API for third-party clients.
abstract poetry
A generous interface for iterative and semantic search of academic papers
June-Aug 2022 (8 weeks)
︎ Deepcore AI Lab,
a Softbank Subsidiary
︎︎︎ Concept, Figma,
Github, Demo
[[]] guided-ML,
open-science,
bayesian-inference
This project demonstrates the potential for iterated semantic search to support the discovery of academic papers.
Using user impressions on paper abstracts as inputs to a Bayesian algorithm, abstract poetry traverses an embedding space of unseen abstracts to locate regions of possible interest.
Researchers found this mode of search supported “keyword discovery” better than existing modes of search , where they would begin with a fuzzy sense of what they were looking for, and end with a set of precise research keywords.
a Softbank Subsidiary
︎︎︎ Concept, Figma,
Github, Demo
[[]] guided-ML,
open-science,
bayesian-inference
This project demonstrates the potential for iterated semantic search to support the discovery of academic papers.
Using user impressions on paper abstracts as inputs to a Bayesian algorithm, abstract poetry traverses an embedding space of unseen abstracts to locate regions of possible interest.
Researchers found this mode of search supported “keyword discovery” better than existing modes of search , where they would begin with a fuzzy sense of what they were looking for, and end with a set of precise research keywords.
civicdash
A community data dashboard for citizens to understand and interact with their city
April-June 2022 (6 weeks)
︎ The Graph Foundation
︎︎︎ Concept, Figma, Github
[[]] futarchy,
prediction-markets,
data-dashboards
The core hypothesis of civicdash is that promises for civic change are more likely to be kept if they are held accountable to real civic data.
civicdash’s role, then, is to make that data as accessible and actionable to the civic-minded as possible.
First, we reimagined the social dashboard by ripping out the modular, information-dense user flows common to traditional dashboards in favor of a gentler, opt-in experience to finding and analysing civic data. Furthermore, we tied individual metrics to policy prediction markets, giving citizens the ability to vote and predict the effectiveness of policy
︎︎︎ Concept, Figma, Github
[[]] futarchy,
prediction-markets,
data-dashboards
The core hypothesis of civicdash is that promises for civic change are more likely to be kept if they are held accountable to real civic data.
civicdash’s role, then, is to make that data as accessible and actionable to the civic-minded as possible.
First, we reimagined the social dashboard by ripping out the modular, information-dense user flows common to traditional dashboards in favor of a gentler, opt-in experience to finding and analysing civic data. Furthermore, we tied individual metrics to policy prediction markets, giving citizens the ability to vote and predict the effectiveness of policy