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Graduate Researcher

Official RIT appointment researching predictive world models and emergent emotional appraisal in generative agents.

Organization
Rochester Institute of Technology
Period
Jan 2026 – Apr 2026
Location
Rochester, NY

What I worked on

  • Extended Stanford's Generative Agents with a 72-feature LSTM predictive model, controlled scenarios, ablations, and statistical comparisons across 205,940 agent-step records.
  • Validated statistically significant emergent emotion patterns against Gallup 2024 human baselines and documented model behavior, limitations, and failure modes in a research poster.

Technical context

Python · PyTorch · LSTM · Multi-agent simulation · Ablation studies · Statistical analysis

Read the Emotion Engine case study