cv

Basics

Name Lyle Goodyear
Label Predoctoral Research Fellow at Microsoft Research NYC
Email lyleg@stanford.edu
Phone 830-370-6202

Education

  • 2022 - 2026

    Stanford, CA

    Stanford University, GPA: 3.997, Tau Beta Pi Engineering Honor Society
    Computer Science with Honors (BS), Theory Subplan

Research Experience

  • July 2026 - Present

    New York, NY

    Predoctoral Research Fellow
    Microsoft Research New York, Economics and Computation Group
    Advised by Sr. Principal Researcher Markus Mobius.
  • June 2025 - Sep 2025

    Cambridge, MA

    Undergraduate Research Intern
    Microsoft Research New England, Economics and Computation Group
    Rational DeGroot Learning: Developed and analyzed extension of DeGroot social learning model. Designed human subject experiment to test theory. Preparing paper for submission to American Economic Review.
    • Advised by Sr. Principal Researcher Markus Mobius.
  • June 2024 - Mar 2025

    Stanford, CA

    Research Assistant
    Stanford Department of Management Science and Engineering
    State Representation for LLMs in Games: Used LLMs to simulate realistic human economic behavior in multi-agent games. Implemented agent-based network congestion model, designed natural language state representation framework.
    • Advised by MS&E Professor Ramesh Johari, mentored by ICME Ph.D. candidate Rachel Guo.
    • Presented at EC '25 Information Economics X LLMs.
  • Jan 2024 - June 2024

    Stanford, CA

    Supervised Undergraduate Research
    Stanford Department of Computer Science
    Benchmark for Autonomous Scientific Discovery Agents: Built benchmark to assess LLMs in model building and experiment design; implemented probabilistic models in Python, built interface between simulated environment and LLM agents.
    • Presented at NeurIPS '25 Scaling Environments for Agents.

Skills

Languages
Python
C/C++
JavaScript
Java
Libraries
NumPy
SciPy
Pandas
PyMC
LangChain/LangGraph
oTree
Other
Git
LaTeX