CV

Basics

Name Xiaocan Li (李晓璨)
Position Staff Scientist, T-2, Los Alamos National Laboratory
Email xiaocanli [at] lanl [dot] gov
Phone +1 (505) 667 • 7568
Url https://xiaocanli.github.io
Summary Plasma physicist investigating particle acceleration, transport, and energy conversion in solar, space, and astrophysical plasmas through multi-scale kinetic, MHD, and transport simulations.

Work

  • 2024.09 - Present
    Staff Scientist
    T-2, Los Alamos National Laboratory
    Lead research on particle acceleration and transport in space, solar, and astrophysical plasmas using multi-scale kinetic and MHD simulations.
    • Develop GPU-accelerated transport solvers that bridge kinetic and global MHD calculations on LANL and DOE supercomputers.
    • Coordinate multi-institutional efforts that connect numerical predictions with solar observations and laboratory experiments.
  • 2022.02 - 2024.09
    Research Scientist
    Department of Physics and Astronomy, Dartmouth College
    Coupled PIC, MHD, and transport simulations to interpret particle energization signatures in solar eruptions.
    • Linked reconnection-driven acceleration models with X-ray and microwave observations to explain nonthermal emissions.
    • Mentored graduate and undergraduate students on reconnection-rate scaling, magnetotail reconnection, and simulation workflows.
  • 2020.02 - 2022.01
    Research Associate B
    Department of Physics and Astronomy, Dartmouth College
    Investigated reconnection-rate reduction in high-beta plasmas and power-law formation in relativistic regimes.
    • Integrated transport-solvers with MHD outputs to study solar-flare acceleration and energetic particle propagation.
    • Executed large-scale PIC simulations that quantified reconnection dynamics and particle energization.
  • 2017.02 - 2020.02
    Postdoctoral Research Associate
    T-2, Los Alamos National Laboratory
    Analyzed particle acceleration mechanisms in solar flare reconnection using VPIC simulations and transport models.
    • Coupled kinetic results with MHD simulations and observations to evaluate acceleration efficiencies.
    • Studied drift motions, pressure anisotropy, and field amplification in reconnection and shock environments.
  • 2016.09 - 2017.01
    Postdoctoral Research Assistant
    CSPAR, The University of Alabama in Huntsville
    Modeled plasma-tether interactions using kinetic simulations.
  • 2013.06 - 2016.08
    Visiting Student
    T-2, Los Alamos National Laboratory
    Long-term research visits focused on reconnection energization and supernova remnant shocks.
    • Used VPIC to probe drift motions, shear/compression, and pressure anisotropy during reconnection.
    • Modeled magnetic-field amplification and cosmic-ray acceleration with coupled MHD and transport simulations.
  • 2012.05 - 2016.08
    Graduate Research Assistant
    Center for Space Plasma and Aeronomic Research, UAH
    Ph.D. research on numerical simulations of particle acceleration during solar flares.
    • Developed test-particle codes for chaotic magnetic fields and performed VPIC simulations of reconnection-driven acceleration.
    • Built Parker transport models to bridge kinetic simulations with solar observations.
  • 2009.09 - 2011.06
    Graduate Research Assistant
    Department of Geophysics, Peking University
    Modeled electron transport with Monte Carlo (Geant4) simulations during M.S. studies.

Education

  • 2011 - 2016
    PhD
    The University of Alabama in Huntsville
    Space Science
  • 2008 - 2011
    Master of Science
    Peking University
    Space Physics
  • 2004 - 2008
    Bachelor of Science
    Tongji University
    Surveying and Mapping Engineering

Skills

Plasma Physics & Space Science
Magnetic reconnection
Collisionless shocks
Plasma turbulence
Solar flares
SEP acceleration
Computational Methods
PIC / hybrid simulations
Global MHD modeling
Parker transport solvers
Multi-scale coupling
GPU/CPU performance tuning
Programming & Parallelism
Python
C/C++
Fortran
Julia
MPI
OpenMP
CUDA
Kokkos
Cabana
Data & Visualization
HDF5
FFTW3 / HeFFTe
ParaView
Python scientific stack
Profiling & debugging at scale

Languages

Mandarin Chinese
Native speaker
English
Fluent

Interests

Hiking
Skiing
Reading
Nature Photography