The NCWIT Award for Aspirations in Computing honors young women and gender-expansive students for their computing-related achievements and interests. The award recognizes technical contributions to prokects with a high potential for impact.

Thank you to all of my collaborators on the project!

To see the video submission I created for the project, see this link.

A full list of finalists can be found here.

The CRA Outstanding Undergraduate Researcher Award recognizes undergraduate students in North American colleges and universities who show outstanding research potential in computing. The award considers students’ research accomplishments, the impact of their contributions to their research area, and their potential for continued success in computing research.

I’m grateful to my department for nominating me, as well as the support from my research mentors and collaborators who made this recognition possible.

The complete list of honorable mentions can be found on the CRA website.

I’m super excited to share that our paper “GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts” has been accepted to WACV 2026!

This project has been an incredible learning experience. Working at NYU’s Immersive Computing Lab under Prof. Qi Sun, I had the opportunity to contribute to research addressing a critical challenge in generative AI: how do we evaluate the quality of AI-generated videos through the lens of human perception?

What We Built

GeneVA is a dataset that captures human perception of visual quality in AI-generated videos. As text-to-video models become increasingly sophisticated, understanding how humans perceive artifacts and quality issues in generated content becomes essential for developing better models and evaluation metrics.

What’s Next

The paper will be presented at the Winter Conference on Applications of Computer Vision in 2026. I’m looking forward to sharing our work with the computer vision community and learning from the discussions at the conference.

You can read the preprint on arXiv, and check out more details on my publications page.

This work was done in collaboration with Jenna Kang, Patsorn Sangkloy, Kenneth Chen, Niall Williams, and Prof. Qi Sun at NYU’s Immersive Computing Lab.

What I Worked On

This summer, I tackled three main projects that improved workflows for designers, engineers, and animators across the company:

Redesigning the Animation Preview Tool
I redesigned Duolingo’s internal animation preview tool, which enabled 400+ previously inaccessible animations to be visualized by the team. This involved refactoring legacy code and collaborating closely with the design team to improve the UI. It was incredibly rewarding to see something I built immediately improve daily workflows for so many people.

Revamping Component Documentation
I revamped Duolingo’s component documentation platform by making the avatar preview page interactive and fully compliant with our design system. The goal was to significantly improve developer usability while ensuring everything aligned with internal design standards.

AI-Generated Image Evaluation
I led and launched Duolingo’s first experiment in AI-generated image evaluation by building a prompt adherence filter using GPT APIs. This involved generating synthetic data for model testing, running statistical evaluations, and iteratively optimizing prompt performance. It was exciting to work on the cutting edge of how AI tooling can improve creative workflows.

What I Learned

Working on design systems and AI design tools taught me to think differently about software engineering. Every decision affects countless developers and designers downstream, so code quality, documentation, and API design matter even more than usual. I learned to:

• Balance maintaining consistency across a large codebase while enabling flexibility for different use cases
• Collaborate effectively with designers to translate visual requirements into robust technical implementations
• Think about developer experience as a first-class concern, not an afterthought
• Appreciate the impact that good internal tooling has on team productivity

The Experience

Duolingo’s culture of experimentation and user-focused design really resonated with me. The team’s commitment to making language learning accessible to everyone mirrors my own goals in research—creating technology that serves real people’s needs.

Being selected for this internship reinforced my interest in building systems that empower others. Whether it’s internal tools for developers or research systems for scientists, I’m drawn to work that multiplies other people’s effectiveness.

Grateful for the opportunity and to everyone on the Design Accelerator Area team who made this summer so valuable!

Interested in internships at Duolingo? Feel free to reach out—I’m happy to share more about my experience!

I recently had the opportunity to co-present our paper “PaleoScan: Low-Cost Easy-to-use High-Volume Fossil Scanning” at ACM CHI 2024 in Honolulu, Hawaii, alongside João Rulff!

It was so exciting to be able to share PaleoScan with researchers from around the world and engage in conversations about accessible technology for scientific research.

You can read the full paper in the ACM Digital Library and watch our video presentation. More details are also available on my publications page.