I am a Ph.D. student in the Stanford MIMIR Knowledge Creation Lab advised by Daniel A. McFarland.

I came to computational social science through Emory University, where I double majored in Applied Mathematics and Statistics (a joint major in mathematics and quantitative methods) and Sociology. At Stanford, I have the pleasure of working with Victor R. Lee, Julian Nyarko, Melissa Valentine, and Diyi Yang. At Emory, I was advised by Manuela Manetta and Weihua An.

📚 What I Study

I am a computational social scientist who uses natural language processing, social network analysis, causal inference, statistical modeling, and LLM-based simulation to study knowledge and innovation evaluation.

I am particularly interested in:

• Evaluation of knowledge: how peer review and patent examination shape which ideas advance in the knowledge economy, and how targeted AI augmentation can improve these systems
• AI and expert judgment: how AI can support, rather than replace, expert judgment in high-stakes domains such as law and peer review, and how to evaluate when AI-generated work and assessments meet expert standards
• AI in education: how students and teachers adopt generative AI in secondary schools, and what this means for academic integrity and how student work is assessed

📧 Contact

ruishich [at] stanford [dot] edu