Dr. Da Qi Ren has 13 years of professional experience as a researcher in the field of computer engineering. His research has been focused on data intensive computing; big data analytics; parallel and distributed processing; HPC software design and optimization; GPGPU; computational electromagnetics. Dr. Ren is a member of ACM, IEEE and ICS. Specialties: Big data analytics and data intensive computing; Energy aware high performance computing; High performance software design and optimization; General-purpose computing on graphics processing units (GPGPU).

Staff Research Engineer @ Data intensive computing; high performance big data processing; HPC software design and optimization; data center architectures and programming models; big data analytics. From January 2013 to Present (3 years) Senior Software Engineer @ High performance software design and optimization for EM applications with CUDA/MPI/OMP on parallel architectures; Finite Element Methods; computational electromagnetics; Numerical analysis; performance modeling and analysis. From December 2010 to December 2012 (2 years 1 month) Postdoctoral Researcher @ High performance computing; parallel and distributed algorithms; data structure and parallel algorithm design on multiprocessing systems including Multi-core, CPU, GPU, GPU clusters; GPGPU computing with C/CUDA/MPI/OMP; performance modeling and analysis; energy aware computing and software design. From May 2008 to December 2010 (2 years 8 months) Tokyo, JapanPostdoctoral Researcher @ Genomic computing and visualization From 2006 to 2007 (1 year)

Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering @ McGill University Da-Qi Ren is skilled in: High Performance Computing, C/C++ STL, Parallel Algorithms, Formal Methods, MPI, OpenMP, Parallel Computing, CUDA, Multithreading, Finite Element Analysis, Electrical Engineering, Computer Architecture, Parallel Programming, GPGPU, Computational Geometry