Soccer Player Market Value Scout
Deployed ML service that predicts soccer players’ market value from performance stats and explains every prediction. Streamlit app + FastAPI on Google Cloud Run.
STAT 418 final project.
Deployed ML service that predicts soccer players’ market value from performance stats and explains every prediction. Streamlit app + FastAPI on Google Cloud Run.
STAT 418 final project.
LLM multi-agent simulations of real research teams with a four-layer fidelity framework and a 55-metric NLP evaluation suite. Basis of an EMNLP 2026 submission.
Analysis of U.S. House members’ reported stock trades, joined to party affiliation, to study trading patterns across parties.
Improving the interpretability and reducing the bias of an image emotion-recognition model using CLIP-Dissect and concept-based analysis.
Layer-wise merging strategies and a scalable safetensors pipeline that raise language-benchmark scores while preserving multimodal performance.
AI Model Research Internship.
Published in Working paper, 2025
Analyzing multi-session interdisciplinary team discussions to understand how project ideas evolve from exploration to outcomes, modeling insider–outsider roles, conversational centrality, and turn-taking dynamics.
Recommended citation: Sungjin Choi. (2025). "Revealing Team Project Development via Conversation Analysis." Working paper.
Published in Under review, EMNLP 2026, 2026
LLM multi-agent simulations of five real research teams (24K utterances, 6 sessions/team) with a four-layer fidelity framework. Behaviorally grounded personas close 64% of the naive-to-human outcome gap across 5/5 teams.
Recommended citation: Sungjin Choi. (2026). "LLM Multi-Agent Simulations of Research Teams." Under review, EMNLP 2026.