Filipe Maia
Professor at Uppsala University
Uppsala, Uppsala County, Sweden
Summary
👤
Senior🎓
Top SchoolFilipe Maia is a Professor at Uppsala University with 19 years of experience at the intersection of X-ray diffractive imaging and scientific computing, combining deep academic research with hands-on high-performance code optimization. His career spans PhD work on ill-conditioned inverse problems and image reconstruction for X-ray scattering to a petascale postdoc at Lawrence Berkeley National Lab focused on GPU acceleration. He is an active back-end open-source contributor to prominent GPU and parallel C++ projects (ArrayFire, Thrust, CUSP), where he added robust complex-number support and GPU-aware optimizations that improved numerical capabilities across CUDA, CPU and OpenCL backends. Based in Uppsala, he brings a rare blend of experimental physics insight and low-level software engineering, frequently translating advanced mathematical models into production-ready, high-performance implementations. An underappreciated strength is his sustained commitment to portability and numerical correctness across heterogeneous compute platforms.
19 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Uppsala universitetLicentiate degree, Biochemistry, Licentiate degree, Biochemistry at Universidade do Porto
English, Portuguese
Github Skills (22)
thrust10
algorithms10
c-language10
gpu-programming10
sparse-matrix10
complex-numbers10
gpu10
arrayfire10
cuda10
cpp10
cprogramming-language10
scientific-computing10
linear-algebra10
c119
blas9
Programming languages (12)
Github contributions (5)
NVIDIA/thrust
Oct 2013 - Apr 2014
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
Role in this project:
Back-end Developer
Back-end DeveloperContributions:68 commits, 6 comments in 6 months
Contributions summary:Filipe primarily focused on implementing and improving complex number functionality within the Thrust library. Their contributions included adding support for complex number arithmetic, transcendental functions such as exp, log, cos, sin, tan, cosh, sinh, tanh, acos, asin, atan, acosh, asinh, and atanh, and their implementations. Furthermore, the user contributed by implementing optimizations and adjustments to existing functions related to complex numbers.
c-plus-pluscxxnvidia-hpc-sdknvidiacpp20
cusplibrary/cusplibrary
Oct 2010 - May 2012
CUSP : A C++ Templated Sparse Matrix Library
Role in this project:Back-end Developer
Back-end DeveloperContributions:53 commits in 1 year 7 months
Contributions summary:Filipe primarily contributed to the development of a C++ templated sparse matrix library, CUSP. Their work focused on extending the library's capabilities by introducing complex number support. This involved defining a complex number structure, implementing arithmetic and transcendental operators, and integrating with CUDA for GPU acceleration, as indicated by the addition of `__host__` and `__device__` annotations. Furthermore, the user added inverse trigonometric functions and matrix market I/O for complex matrices.
cppmatrix-multiplicationsparse-matrixtemplatedsparse
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