Abdallah Alashqar
PhD Researcher In Personalized Neuromodulation Therapies
Nuremberg, Bavaria, Germany
Summary
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Senior🎓
Top SchoolAbdallah Alashqar is a neuroengineering PhD researcher based in Nuremberg with eight years of experience bridging biomedical engineering, computational neuroscience, and AI-driven software development. He develops patient-specific computational models and digital twins to guide personalized neuromodulation therapies, combining rigorous academic training from TUM and LMU with industry-grade AI and computer vision experience at Aptiv. His work uniquely merges population-level neural simulations with practical engineering for clinical decision support, reflecting both theoretical depth and production-oriented thinking. Previously he contributed to physiological-signal analytics and predictive algorithms at Philips Respironics and built neural network simulations in SirotaLab, giving him a rare perspective across lab, clinic, and industry settings.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at German Jordanian University - GJUMaster's degree, Neuroengineering, Master's degree, Neuroengineering at Technical University Munich
Arabic, English, German
Github Skills (9)
arxiv5
computational-neuroscience3
coupling3
autoencoder3
neurons3
gamma2
deep-learning2
pytorch2
neural-network1
Programming languages (1)
Github contributions (5)
AAshqar/DSCLRCN-PyTorch
Jan 2018 - Nov 2018
Contributions:15 commits, 6 PRs, 18 pushes in 9 months
pytorcharxivabsdeep-learningpytorch-implementation
AAshqar/GammaCoupling
Jul 2018 - Nov 2021
A project to model gamma coupling of a biological neural network consisting of pyramidal neurons and interneurons
Contributions:14 PRs, 32 pushes, 3 branches in 3 years 4 months
autoencodercouplingneural-networkscomputational-neuroscienceneurons
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