(they/them)
Amazon SDE and Applied ML Researcher
LLM Agents | Embodied AI | Uncertainty
About Me
I am an Amazon SDE and applied ML researcher focused on reliable AI agents, embodied/human-centered AI, and uncertainty-aware decision systems. I am interested in work that combines production-grade agentic systems, agentic RL, rigorous model evaluation, and trustworthy agents.
My strongest through-line is turning ambiguous model behavior into measurable scientific problems: code-generation agents and tool-use workflows in production settings, spoken instruction following for embodied agents, learning-to-defer systems for human-AI collaboration, and conformal prediction under data and distribution shifts.
I publish research as Yizirui Fang and also go by Easey Fang. Find my work on GitHub, Google Scholar, and LinkedIn.
- LLM Agents and Tool Use
- Post-training and Evaluation
- Human-centered Machine Learning
- Embodied AI
- Uncertainty Quantification
- Robust Decision Making
MS Eng in Computer Science
Johns Hopkins University
Applied Statistics and Machine Learning
Imperial College London
BSc Computer Science
University of Nottingham
Research in uncertainty-aware decisions, embodied AI, and human–AI collaboration, with related papers and code.
Papers on learning to defer, conformal prediction, embodied instruction following, and human-centered AI. Explore the .