Lisandro Dalcin
Research Scientist at aanslab at KAUST
Saudi Arabia, Argentina
Summary
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RockstarLisandro Dalcin is a research scientist with 19 years of experience specializing in high-performance computing, MPI, and backend systems engineering. Based in Saudi Arabia and originally from Argentina, he is a prolific open-source contributor with notable work in flagship projects like Open MPI, mpi4py, Cython, and meshio, improving fault tolerance, parallel execution reliability, and mesh I/O for scientific computing. His contributions span deep correctness fixes (preventing use-after-free and datatype bugs), performance-minded compiler/runtime enhancements, and robust test automation to harden distributed workflows. Comfortable working close to the metal and in higher-level Python toolchains, he bridges low-level MPI semantics with practical developer-facing interfaces. Less obvious: he frequently focuses on corner-case handling—periodicity in mesh formats, binary write robustness, and subtle exception/abort behaviors—that make scientific software reliable in production-scale simulations.
19 years of coding experience
Github Skills (28)
mesh10
python10
testing10
mathematics10
mpi10
hpc10
openmpi10
c1110
math10
c1710
cython10
error-handling10
optimization10
test-automation10
command-line-interface9
Programming languages (13)
Github contributions (5)
mpi4py/mpi4py
May 2008 - Jan 2023
Python bindings for MPI
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:17 releases, 127 reviews, 2672 commits in 14 years 11 months
Contributions summary:Lisandro primarily focused on enhancing the functionality and robustness of the `mpi4py.run` module, specifically by improving command-line parsing, error reporting, and test coverage. Their contributions involved adding tests within the `demo/test-run/test_run.py` module and creating new test cases in the demonstration directory to ensure the reliability and correctness of Python scripts, modules, and zip files execution using the `-m` and `-c` flags. These changes extended testing for the module and helped identify and fix issues related to abort conditions and exception handling.
mpipythonpython-bindingsnumbampi-applications
cython/cython
Sep 2008 - Nov 2022
The most widely used Python to C compiler
Role in this project:Back-end Developer
Back-end DeveloperContributions:57 reviews, 345 commits, 53 PRs in 14 years 4 months
Contributions summary:Lisandro primarily contributed to the Cython project by implementing enhancements and fixing bugs related to the Python to C compiler. They focused on optimizations for built-in types, improvements for the import of classes and functions, handling memory management, and updating features like classmethod support and exception handling within the compiled code. A notable contribution involved the handling of C++ exception-handling within the nogil functions, as well as a fix for a bug in the implementation of the 'not in' operator. The user's work improved the overall efficiency and reliability of the Cython compiler.
cpython-extensionscpppythonpython-bindingsbig-data
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