A selection of projects which I have undertaken since 2019.



Stille is a physical-digital service, which supports the emotional well-being of institutional caregivers of the elderly, thus maintaining their empathy and their energy to care for the elderly.

Stille was my final year project at CIID in the Interaction Design Program (IDP ’19). It was awarded Student Runner Up in the 2020 Core77 Design Awards, and was an honoree for 2020 Fast Company’s Innovation By Design Awards, Student Category. The detailed documentation is here, covering the design research (including shadowing, interviews, sacrificial prototypes), development of design principles, and the subsequent concept and prototype testing.


Reimagine Mental Wellbeing at the Workplace

Reimagine Mental Wellbeing at the Workplace Good Design Research volunteer project, facilitated by Common Ground and Studio Dojo.

I volunteered as a design volunteer for this project, from June to November 2021. Our client was DP Architects, one of the largest architectural firms in Singapore. I was involved in conducting design research (including user interviews), analysing survey data (from 400+ respondents across the whole of DP Architects!), ideation, and testing the GatherTown prototype. I worked with my colleagues Charissa Pang, Fan Chungyi, Phoebe Toh, Zhang Xintian, and also DPians Josiah Leong, Hogan, and Ke Yang. Our Design Coach was the amazing Amena Lee Schlaikjer.

2020 - 2021

EDB work

Various projects for EDB Singapore, which I cannot completely share due to confidentiality.

Some of the things I did, in no particular order:

  • Conducted design research to identify areas of improvement in the EDB employee experience. This included shadowing a couple of EDB officers to see their typical day, and facilitating a series of focus group discussions
  • Worked with senior management & internal colleagues to plan & execute a series of workshops for an economic strategic initiative
  • Six-week customer discovery sprints (modeled after Basecamp’s Shape Up Cycles) to identify & develop potential non-incentive products for Singapore. Tasks included research interviews, synthesis, insight development, prototyping & testing
  • Working-level co-lead of a joint team (EDB and a private company, with senior sponsors) for a special project, which we ran as an agile development sprint. Conducted design research and customer discovery, worked with WOG stakeholders, and jointly managed the project with my counterpart from the company
  • Managed the service design practice, including identifying and implementing the functional competencies and skills development framework for the in-house practice
  • Conducting in-house design thinking training with my colleagues Ysanne and Yun Jin (note: I am offering a version of this as a Proposition)
  • Managed the EDB website team (under EDB Marketing), including vendors (Convertium, who were really nice to work with)



Hoodkit is a service that equips volunteers with tools to form communities around elders in their neighborhood. This service addresses social isolation observed in the elderly population, especially for men.

The toolkit equips volunteers with well-designed information to facilitate forming communities around the elderly population in their neighborhood. It does so by providing tools such as an “idea catalog” of activities, a workshop organization checklist, and tips & tricks. The tools enable volunteers to reach out and organize neighborhood activities, build up a core group of volunteers in the neighborhood, and thus reach out to isolated elderly males and bring the community to them.

Hoodkit was designed and created as part of the Service Design course for the CIID IDP 2019, with my colleagues Aditi and Lea. I was heavily involved in the research interviews, but also in ideation, concept development & developing the service blueprint.



Pill ML is a machine-learning device that helps the elderly to identify the pills they have to take. As we age, the number of pills we have to take increases. It is thus a growing challenge for the elderly to remember what pills they have to take. When the patient is supposed to take the pill, the patient places the pill under Pill ML’s electronic camera to check if the patient is consuming the right pill.

The algorithm was derived from a flexible classification program written on P5js by Andreas Refsgaard. Modifications by me included the addition of a state machine, introduction of an interface for a healthcare provider to input the type of pill. The training of the algorithm to recognise different types of pills was done by my colleagues Amit and Silvia.


Raging Bull 1.0

Raging Bull 1.0 is a Digital Dharma prototype, meant to provide an interactive guide on how to meditate. Coded in P5js in an hour.

If you’re interested to work with me, please check out my Proposition page and contact me through this form.