Nov 2025
Presented joint work with Kazuma Takakura on innovation and collaboration networks at SEA 95th.
Talk
Yajie Xu
Interdisciplinary researcher at the intersection of Behavioral Economics and AI. I integrate game theory and Bayesian econometrics to investigate social networks and human-AI cooperation. Currently at the USF CSSAI Lab, I design AI-assisted experiments to study decision-making and guide the development of ethical, human-centered technology.
Research Interests
- Behavioral Economics & Game Theory
- Social Networks & Bayesian Methods
- Human-AI Interaction & Machine Learning
News
Oct 2025
Presented Bayesian network inference with Dr. Munkin at the WATE- FL 2025 Conference.
Talk
Apr 2025
Poster presented at the 10th Annual Conference on Network Science and Economics at Stanford.
Poster
Apr 2025
Won 1st place in Best Overall (Team Award) at HackUSF 2025 for an AI skin-cancer detection platform.
Award
Hackathon
Feb 2025
Received the WLP / Women in Leadership & Philanthropy Endowed Scholarship ($1,250).
Award
Feb 2025
Selected as a Vernon Grigg Scholar ($1,500).
Award
Sept 2024
Delivered poster & talk at the CCS 2024 and the Complexity in Economics & Finance Workshop.
Talk
Poster
Sept 2024
Won 1st place (Team Award) in the MIT Policy Hackathon (Health Challenge) for bias-corrected ABG evaluation metrics.
Award
Hackathon
May 2024
Received the WLP/Dr. Jane Applegate Promising Scholar Award ($4,000).
Award
Research
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.
HCI
education
LLMs
creativity
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.
game
Bayesian
networks
innovation
immigrants
IV
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.
computational linguistics
NLP
rhetoric
counter-speech
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.
cognitive bias
quant finance
market timing
SMCI
risk management
Builds
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
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