Yajie Xu portrait

Yajie Xu

Ph.D. Candidate • Economics
M.S. Student • Artificial Intelligence
University of South Florida
Department of Economics & Bellini College of Artificial Intelligence, Cybersecurity and Computing

Researcher at the intersection of economics, data science, and HCI. I study decision-making in social networks and have a growing interest in behavioral and experimental economics. Obsessed with data, intrigued by psychology, and energized by creative problem-solving.

    News

    Apr 2025

    Won 1st place in Best Overall (Team Award) at HackUSF 2025 for an AI skin-cancer detection platform.

    Award Hackathon
    Feb 2025

    Selected as a Vernon Grigg Scholar ($1,500).

    Award

    Research

    AI-Supported Creative Learning for K–12 Students thumbnail

    AI-Supported Creative Learning for K–12 Students

    Prototyping LLM-integrated platforms that support children's creative learning, storytelling, and collaborative exploration. Combines HCI, psychology, and education to investigate how children engage with generative models, with planned studies examining learning processes and co-creation behaviors in AI-supported environments.

    Collaborator: Raiyan Abdul Baten

    HCI education LLMs creativity
    Bayesian Network Models for Innovation and Immigrant-Led R&D thumbnail

    Bayesian Network Models for Innovation and Immigrant-Led R&D

    Developing Bayesian structural models to infer endogenous network effects in collaboration networks, linking firm-level innovation data and immigrant executive information to measure spillover effects, uncover heterogeneity, and study how immigrant-led firms reshape R&D alliances and innovation outcomes.

    Coauthors: Murat Munkin , Kazuma Takakura

    Bayesian inference networks innovation immigrants
    Human-Centered NLP for Constructive Online Conversations thumbnail

    Human-Centered NLP for Constructive Online Conversations

    Combining NLP and social computing to study how people use rhetorical strategies to challenge stereotypes and promote constructive dialogue online. Develops Mandarin datasets and explores AI systems that can better understand and support healthy conversational norms.

    Coauthor: Michael Bennie

    computational linguistics NLP rhetoric counter-speech
    Dynamic Style Rotation Strategies in Chinese Equity Markets thumbnail

    Dynamic Style Rotation Strategies in Chinese Equity Markets

    This project constructs a style-rotation index for Chinese equities and evaluates three timing strategies. The best-performing approach—rotation with market-exit rules—achieves a total return of 51.99 versus the benchmark’s 2.58 (≈20.2× higher) and lowers max drawdown from −0.719 to −0.249. A hedged variant also delivers stable, near–market-neutral performance with positive excess returns.

    quant finance market timing SMCI risk management

    Builds

    Celadon • Hugo Theme thumbnail

    Celadon • Hugo Theme

    An open-source portfolio theme exploring the equilibrium between academic rigor and creative design. Features a configuration-driven one-page architecture, native KaTeX support for econometrics, and a bespoke Morandi color system.

    CSS HTML JavaScript Go
    Skin Scan thumbnail

    Skin Scan

    AI-powered skin cancer detection platform that combines real-time webcam analysis, XGBoost image classification, and secure patient management to support early diagnosis and improve healthcare accessibility.

    flask python xgboost pytorch sqlite javascript chart.js

    Misc