Yiyang "Diana" Wang β˜•οΈ
Yiyang "Diana" Wang

Ph.D. Student

About Me

Yiyang (Diana) Wang is a third-year Computer Science Ph.D. student at Georgia Institute of Technology specializing in Large Language Models (LLMs), LLM Agents, Human-AI interaction, Multimodal Sensing, and Machine Learning.

Interests
  • Human-Computer Interaction
  • Large Language Models
  • LLM Agents
  • Multimodal LLMs
  • Ubiquitous Computing
Education
  • PhD in Computer Science

    Georgia Institute of Technology

  • Master of Human-Computer Interaction

    Carnegie Mellon University

  • BSc Computer Science

    Georgia Institute of Technology

πŸ“š My Research

My research focuses on developing AI-driven mobile health technologies and behavioral analysis tools through user-centered design. I aim to apply my expertise in creating innovative, user-focused AI solutions across diverse technology domains.

Please reach out to collaborate πŸ˜ƒ

Experience

  1. Research Scientist Intern

    Dolby Laboratories
    • Topic: A Multi-Agent Conversational AI Framework with Spatial Audio for Social Co-Viewing Experiences
  2. Software / UX Research

    Meta

    Meta x CMU MHCI Capstone

    • Designed Nova, an LLM-based assistant, to enhance knowledge sharing for the advancement of data centers, overcoming challenges by applying UX research techniques and prototyping, and culminating in a collaborative presentation at Meta’s Fremont office.
  3. Software Development Engineer Intern

    Amazon
    • Delivered E2E pipeline for natural language understanding models’ test set release on AWS account that reduced manual effort and total testing time by 50%
  4. Software Development Engineer Intern

    Amazon
    • Optimized automated long-running end-to-end integration tests for internal model release pipeline to a single command on cloud terminal and shortened manual testing time by 8 hours
  5. Software Engineer Co-op

    HubSpot
    • Delivered Zoom call transcription service to more than 121,000 customers across more than 120 countries and improved conference archive and content accessibility
  6. Software Engineer Intern

    Cognosos
    • Enhanced customers’ portal experience in tracking over 100,000 assets across multiple industries at a start-up

Education

  1. PhD in Computer Science

    Georgia Institute of Technology
    Supervised by Prof Josiah Hester.
  2. Master of Human-Computer Interaction

    Carnegie Mellon University

    GPA: 3.99/4.00

    Supervised by Prof Sherry Tongshuang Wu. Courses included:

    • Design of AI Products
    • Software Structures for User Interfaces
    • User-Centered Research and Evaluation
  3. BSc Computer Science

    Georgia Institute of Technology

    GPA: 3.94/4.00, Major GPA: 4.00/4.00

    Supervised by Prof Gregory Abowd and Prof Jennifer Kim. Courses included:

    • Machine Learning
    • Ubiquitous Computing
    • Social Psychology
Recent Publications
(2025). Eliciting Design Guidelines of Paper-Based Tactile Interfaces for Eyes-Free Scenarios. Proceedings of the Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction.
(2025). PuffEM: An E-cigarette Sleeve for Estimating User Nicotine Intake. ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE ‘25), June 24–26, 2025.
(2024). AgentReview: Exploring Peer Review Dynamics with LLM Agents. EMNLP'24.
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