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Research Experience

Postdoctoral Research Associate

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Research

University of Georgia

May 2024 – Present 

  • Athens, Georgia

​LabAgent Development
• Led the development of a multi-agent AI-embedded learning platform that integrates simulations, large language models (LLMs), and adaptive feedback to support student-centered inquiry.
• Programmed and deployed interactive simulations (e.g., Vibe-coded environments) to model physical phenomena and support students' experimentation and hypothesis testing.

 

InquiryAgent Development
• Designed and developed NGSS-aligned science inquiry curricula, embedding machine learning (ML) as an investigation tool.
• Created multi-modal instructional materials, including videos, interactive notebooks, and LLM-based content generators, to support diverse learners and enhance engagement.

 

Auto-SPIN (Automatic Measure of Student Reasoning Patterns in Science Argumentation) Development
• Designed AI-supported science argumentation activities focused on ecosystem phenomena, integrating data exploration, modeling, and Claim-Evidence-Reasoning (C-E-R) structures.
• Co-developed the AI feedback framework that identifies students’ CER patterns and delivers adaptive, pedagogically aligned guidance during argument construction.
• Collaborated on assessment task design using large language models (LLMs) to generate automated instructional feedback, refine reasoning prompts, and support student engagement across diverse contexts.
• Participated in iterative design cycles with ETS and UGA teams, analyzing student interaction
data to refine validity, usability, and alignment with NGSS scientific practices.​​​

User Experience Research

User Experience Research (UXR)

University of Virginia

May 2024 – May 2025 

  • Charlottesville, Virginia

  • Conducting user research to understand students' needs, behaviors, and experiences using the AI curriculum.

  • Designing and implementing user surveys; interview protocols

  • Conducting interviews to understand students' perspectives on AI

  • Collecting pre- and post-survey survey

  • Analyzing research data to identify pain points and opportunities for improving the curriculum and lesson plans.

  • Designing A/B testing to compare the activity designs

  • Conducting usability testing in different locations to redesign the curriculum. 

  • Presenting research findings and recommendations to the curriculum development team and other stakeholders.

  • Modifying course content and timetable to suit each school's circumstances.

Academic Research
Experience

Graduate Research Assistant

University of Virginia

January 2024 – Present 

  • Charlottesville, Virginia

  • Quantitative Research/Qualitative Research

  • Artificial Intelligence for Advancing Instruction, Video Bounding

Graduate Research Assistant

University of Virginia

August 2021 – Present 

  • Charlottesville, Virginia

  • Quantitative Research
    Test Survey Validity: Utilizing item response theory (IRT) and structural equation modeling (SEM) to validate survey instruments and test effectiveness and reliability.
    Data Analysis: Analyzing large-scale research data using statistical software packages such as R® and STATA®. Interpret findings and prepare comprehensive reports for dissemination among stakeholders.
    Meta-Analysis: Conducting meta-analytical reviews to synthesize existing research findings and provide robust conclusions that guide project direction.

  • Qualitative Research
    Methodology Development: Participating in pioneering research projects that utilize AI, particularly large language models (LLMs), for analyzing qualitative textual data. Contribute to the advancement of methodological frameworks.
    Interview Protocol Development: Designing and developing protocols for conducting interviews. Ensure that all protocols meet the research objectives and compliance standards.
    Conduct Interviews: Carrying out structured interviews according to the developed protocols. Engage with diverse populations to gather relevant data.
    Coding and Analysis: Transcribe, code, and analyze interview transcripts to extract meaningful patterns and insights through Dedoose®.

Training Workshop

American Institutes for Research

June 2024 

  • Arlington, Virginia

  • National Assessment of Educational Progress (NAEP)

  • Analyzed large-scale NAEP data using R®. Interpret findings and prepare comprehensive reports. 

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Undergraduate Research Assistant

Zhejiang Normal University

June 2018 – June 2019 

  • China

  • Plant Ecology

  • Analyzed species composition, life-form characteristics, and floristic composition of wild Camellia oleifera, a species of flower, community in Gutianshan.

  • Wrote academic reports and an undergraduate dissertation.

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Undergraduate Research Assistant

Zhejiang Normal University

August 2017 – August 2018 

  • China

  • Physiological Ecology-Animal Physiology and Behavior

  • Conducted an ecological experiment to investigate the effects of Acrossocheilus fasciatus, a species of fish, on its growth performance and the regulatory mechanisms involved in gonadal development.

  • Collected DNA and RNA samples from the fish

  • Performed PCR (Polymerase Chain Reaction) to amplify and analyze specific genes related to growth and gonadal development

  • Analyzed data using SPSS® and Origin 8.0®

  • Detailed data analysis to identify patterns and regulatory mechanisms affecting the physiological traits

  • Won 2nd prize in school and regional competitions and 3rd Prize in the national competition.

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