Abolfazl Ziaeemehr
Postdoctoral Researcher At Institut De Neuroscience Des Systèmes- Inserm UMR 1106 at Aix-Marseille University
Marseille, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolAbolfazl Ziaeemehr is a computational neuroscientist and postdoctoral researcher at Institut de Neuroscience des Systèmes (Inserm UMR 1106) with a decade of experience applying Bayesian methods and deep learning to whole-brain network dynamics and electrophysiological data from rodents and humans. He holds a PhD in Computational Physics and combines rigorous theoretical modeling with practical software development, notably contributing backend enhancements to the widely used Brian2 spiking neural network simulator to improve parallel processing and standalone execution. His work bridges advanced inference techniques and scalable simulation, enabling reproducible experiments and efficient multi-run analyses. Based in Marseille, he brings a rare mix of physics-trained quantitative thinking, hands-on coding for neuroscience toolchains, and experience translating models into demonstrable examples that benefit the open-source community.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computational Physics, Doctor of Philosophy - PhD, Computational Physics at Institute for Advanced Studies in Basic Sciences, Zanjan
English, French
Stackoverflow
1,157reputation
100kreached
13answers
89questions
Github Skills (15)
multiprocessing10
multi-process10
simulation-framework10
python-multiprocessing10
spiking-neural-networks10
python10
code-generation9
neuroscience9
c-language8
differential-equations8
cprogramming-language8
algorithm6
boost6
loops6
numpy6
Programming languages (8)
Github contributions (5)
brian-team/brian2
Jan 2021 - Feb 2021
Brian is a free, open source simulator for spiking neural networks.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 1 PR, 3 comments in 23 days
Contributions summary:Abolfazl contributed significantly to the Brian2 simulator, focusing on enhancing its capabilities for parallel processing and standalone execution. Their work involved the creation of examples demonstrating multiprocessing with Cython and Joblib, along with improvements to standalone mode for multiple runs. The user implemented and modified examples to showcase the usage of the standalone device, improving the simulation process. Furthermore, the user added and modified examples to demonstrate conductance base synapse features, enhancing the simulation capabilities.
spiking-neural-networkscode-generationneurosciencepythonscience
Ziaeemehr/workshop_brian
Aug 2020 - Jan 2021
Contributions:30 commits, 29 pushes, 1 branch in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.