cv
Basics
| Name | Lyle Goodyear |
| Label | Predoctoral Research Fellow at Microsoft Research NYC |
| lyleg@stanford.edu | |
| Phone | 830-370-6202 |
Education
Research Experience
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July 2026 - Present New York, NY
Predoctoral Research Fellow
Microsoft Research New York, Economics and Computation Group
Advised by Sr. Principal Researcher Markus Mobius.
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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.
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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.
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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 |
Certificates
| Retrieving, Processing, and Visualizing Data with Python | ||
| Coursera | Oct 2021 |