• Redesigned website for the lab using Wix, optimizing user experience and accessibility especially for elderly participants• Established and managed the lab's social media presence, amplifying the visibility of the lab, populating mental health knowledge, and promoting engagement from USC and the Los Angeles community. • Designed targeted recruitment materials for current studies, including segmented audience-specific posters for participant recruitment

• Cultivated relationships with prospective transfer students on Unibody platform by leveraging networking skills to provide valuable insights into life as a Dornsife student• Amplified the USC experience to potential students through strategic content creation and dissemination on the Dornsife Admission official Instagram account to showcase the vibrant student life and academic opportunities available at USC

• Designed core features, including journaling, CBT chat, chat with spirit, and weekly reports • Conducted in-depth user interviews for iterative feedback on user experience and app development• Researched evidence-based mental health techniques and integrated them into app functionalities, improving user outcomes and engagement• Designed personalized responses for various spirit personalities, improving app appeal and engagement for Gen Z users through targeted prompt engineering• Led and coordinated a team of 50+ members, managing project timelines, deliverables, and task assignments• Provided structured feedback and design reviews to team members, ensuring alignment with project goals and high UX standards across teams

• Proficient in fundamental principles of Product Management, including the application of product frameworks like Design Thinking and Product Lifecycle• Navigated PM recruitment processes through exposure to interview questions and participation in mock interviews with peers• Designed a GPT travel planner MVP with partners and competed in ProductSC's case competition

• Ran 12 large language model experiments using Python to investigate the emotional reasoning abilities of the GPT model across different cultural contexts• Explored the probability reasoning of GPT language models by conducting data analysis on their probability estimation abilities• Systematically compared variances across prompts in multiple languages by applying R and compared model’s performance with human participants

• Performed data analysis on the results of eye-movement and encode verbal syntax into quantitative data• Investigated eye movement processes using eye trackers during visual search and face and object and recognition, providing insights into cognitive mechanisms of visual engagement and social interaction • Elucidated the link between natural images, process of evolution, and human brain mechanisms used for visual tasks during natural behavior in the real world