Raffi Enficiaud

Dr. Raffi Enficiaud is a Researcher at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in Potsdam, Germany. His work focuses on optimizing gravitational waveform generation tools for speed, robustness, and maintainability while enhancing computational efficiency for scientific users.

Education:

• M.Sc. in Mathematical Morphology from Telecom SudParis
• Ph.D. in Mathematical Morphology from Paris School of Mines

Raffi specializes in Gravitational Waves, Mathematical Morphology, and Software Engineering, with expertise in symbolic computation and translating complex mathematical models (e.g., Mathematica) into Python/C++ code. His research interests span Machine Learning, Computer Vision, and Symbolic Computation, informed by his academic and industry experience.

At AEI, he develops and maintains the EOB gravitational waveforms generation package 'pySEOBNR' and tools for computational graph optimization. Prior roles include machine learning engineer at Reasonal (2020–2023), software architect at Pix4D (2018–2020), and leading the 'Software Workshop' at the Max Planck Institute for Intelligent Systems (2014–2018). Earlier roles involved computer vision research at DxO and INRIA.

Contact: raffi.enficiaud@aei.mpg.de