I am in the second year of my Master’s studies in Public Policy and Data Analytics at Carnegie Mellon University. My interests lie at the intersection of privacy and human-computer interaction in the areas of policy, ethics, and philosophy. My interdisciplinary background in public policy and information science has shaped these interests, and throughout my four-year research journey, I have been involved in several research projects that have all converged on my passion for translating research into practical and actionable artifacts — such as workflows, checklists, worksheets, and protocols — that researchers and practitioners can easily adopt.

 

My current research is about informing AI practitioners of potential privacy risks in the development cycle of AI technologies, minimizing the hurdles for developers as they develop these tools in accordance with best practices, thereby enhancing AI privacy awareness in product design. I employ qualitative methods (e.g., interviews and thematic analysis) with quantitative approaches (e.g., experimental design and statistical analysis), alongside designing privacy-centric toolkits and workflows.

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I am also a proud alumnus of Dxlab at National Taiwan University, where I was previously advised by Professor Wei Jeng and worked with many great, professional colleagues on projects centered around information design, data management, and privacy.