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Feiyu Li

AI Scientist • Data Scientist • Plasma Physicist

Current Position

I am currently a research scientist at New Mexico Consortium and was previously a postdoc at Los Alamos National Lab.

Research Focus

I am primarily interested in Artificial Intelligence, Large Language Models, Deep Learning, Machine Learning, Data Science, and Plasma Technologies, with applications in both industry and frontier science.

Industry Applications:

  • Search & Recommendation Systems
  • Forecasting & Time Series Analysis
  • Process Optimization
  • Risk Management

Scientific Applications:

  • Compact Particle Accelerators
  • Space Science & Astrophysics

AI/ML Projects

RAG-based Tax Filing Chatbot

A sophisticated chatbot using GPT, Pinecone, and Streamlit for intelligent tax assistance.

View Project

Proton Beam Energy Prediction

Deep Learning model for predicting proton beam energy for therapeutic applications.

View Project

Cardiac Risk Identification

XGBoost model for advanced cardiac risk assessment and prediction.

View Project

More AI projects coming soon!

Research Impact

40+
Journal Papers
~800
Citations
NASA/DOE
Funded Projects

I've led several plasma-science projects funded by NASA and Department of Energy.

Selected Lead-Author Publications

"Measuring the growth of Alfvén wave parametric decay instability using counter-propagating waves: Theory and simulations" Physical Review E (2025)

Read Paper

"Vacuum laser acceleration of super-ponderomotive electrons using relativistic transparency injection" Nature Communications (2022)

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"Dense attosecond electron sheets from laser wakefields using an up-ramp density transition" Physical Review Letters (2013)

Read Paper

Let's Connect!

I'm always interested in collaborating on cutting-edge AI/ML research and innovative applications.