Presenter

Burlen is a‭ ‬Computer‭ ‬Systems‭ ‬Engineer‭ ‬IV‭ ‬at‭ ‬Lawrence‭ ‬Berkeley‭ ‬National‭ ‬Lab and ‬holds‭ ‬a‭ ‬Master‭ ‬of‭ ‬Science‭ ‬in‭ ‬Applied‭ ‬Mathematics‭ ‬with‭ ‬thesis‭ ‬on‭ ‬numerical‭ ‬methods‭ ‬for‭ ‬adaptive‭ ‬mesh‭ ‬refinement‭ ‬in‭ ‬magnetohydrodynamics.‭ ‬Burlen has ‬more‭ ‬than‭ ‬18‭ ‬years‭ ‬of‭ ‬professional‭ ‬software‭ ‬engineering,‭ ‬high‭ ‬performance‭ ‬computing,‭ ‬and‭ ‬scientific‭ ‬data‭ ‬analysis‭ ‬experience.‭ Burlen’s ‬expertise‭ ‬includes‭ ‬numerical‭ ‬methods,‭ ‬parallel‭ ‬computing,‭ ‬vector‭ ‬field‭ ‬analysis‭ ‬and‭ ‬visualization,‭ ‬and‭ ‬astro‭ ‬and‭ ‬plasma‭ ‬physics‭ ‬visualization‭ ‬and‭ ‬analysis.‭ Burlen has‭ ‬extensive‭ ‬experience‭ ‬with‭ ‬key‭ ‬HPC‭ ‬technologies‭ ‬such‭ ‬as‭ ‬C++,‭ ‬Python,‭ ‬Fortran,‭ ‬MPI,‭ ‬threads,‭ ‬TBB,‭ ‬OpenMP,‭ ‬CUDA,‭ ‬GPU‭'‬s,‭ ‬HDF5,‭ ‬NetCDF,‭ ‬ADIOS,‭ ‬sockets,‭ ‬and‭ ‬RDMA.‭ ‬Burlen’s ‬interests‭ ‬include‭ ‬parallel‭ ‬scientific‭ ‬visualization‭ ‬algorithms,‭ ‬large‭ ‬data‭ ‬visualization,‭ ‬and‭ ‬the‭ ‬application‭ ‬of‭ ‬accelerators‭ ‬and‭ ‬advanced‭ ‬hardware‭ ‬technologies‭ ‬to‭ ‬scientific‭ ‬data‭ ‬analysis.