Worked on the Learning Sciences for Innovators Program, sponsored by the MasterCard Foundation to support and collaborate with African educational practitioners.

Designed the physical and digital versions of Learning Sciences Principle Cards for education innovators in Africa to introduce key principles that can be applied to improve the design of educational products.

Collaborated with subject matter experts to design the learning materials and instructions for the Learning Sciences Principle Cards.

Conducted in-depth interviews with key stakeholders to identify value propositions, refine product positioning, and inform design decisions through service blueprints and user journey maps.

Tested and iterated the cards with educational practitioners from Africa and expanded to audiences in Europe for broader applicability.

Contributed to two research projects about responsible AI: Opportunities for AI practitioners to effectively integrate ethical considerations into the early stage of AI product ideation; Challenges and Design Opportunities in Responsible Content Production.

Recruited and interviewed AI practitioners, including researchers, designers, product managers, engineers, and content creators.

Applied qualitative research methods such as coding, thematic analysis, and affinity diagramming to synthesize research insights for research papers.

Working as a designer and researcher in the Learning Sciences for Innovators Program, a Carnegie Mellon University Africa initiative in partnership with the Mastercard Foundation.

Leading the redesign of a learning insight dashboard that informs tutors to best personalize learning experience with existing data about students.

Conducted evaluative research interviews with tutors and supervisors to identify pain points and evaluate the effectiveness of redesign.

Collaborated with subject matter experts to design onboarding learning materials to facilitate the adoption and effective usage of the service.

Collaborated with the cross-functional team to share actionable insights, balance user needs with product vision and technical feasibility, and secure buy-in.