Mengnan Li

About Mengnan Li

Strong background in algorithm design, high-performance computing, distributed and parallel programming, e.g. MPI, C++- Experienced in solving nonlinear systems with numerical methods- Strong background in fluid mechanics, reservoir simulation, and Multiphase CFD methods- Experienced in generative artificial intelligence, large language model with like llamaindex, Pytorch in Python- Acquaintance in developing prototype and production level codes, e.g. Python, C++- All environment developing, e.g. Linux bash shell, Makefile, Microsoft Visual Studio, Git/Github.

Experience

1. Computational Scientist

   Idaho National Laboratory

   Nov 2022 — Present · Idaho Falls, ID, US

   Keywords: MOOSE framework, Multiphysics coupling, Multiphase flow, Large language modelCore Developer – MOOSE Framework Team:• Spearhead the development and refinement of features that power diverse MOOSE-based applications.• Collaborate across teams to ensure robust, scalable solutions for complex simulation challenges under Nuclear Energy Advanced Modeling and Simulation (NEAMS) program.Multiphysics Modeling & Simulation Expert:• Specialize in advanced multiphysics coupling techniques to simulate scenarios ranging from subsurface reactive transport to two-phase flow phenomena.• Deliver state-of-the-art solutions that enhance simulation accuracy and performance.AI Integration:• Focus on the integration of artificial intelligence within the MOOSE framework.• Develop a large language model-powered agent designed to assist users, streamline complex multiphysics simulation processes, and explore next-generation modeling solutions.

Education

• North Carolina State University

  Doctor of Philosophy (Ph.D.), Minor in Mechanical Engineering, Nuclear Engineering

  2014 — 2019

• North Carolina State University

  Master of Engineering - MEng, Nuclear Engineering

  2014 — 2016

Skills

• Matlab
• Phasta
• Soildworks
• Autocad
• Fortran
• Cfd