Summary
Navid Akbari is a computational neuroscience researcher and machine learning scientist with eight years of experience bridging computer engineering and neural computation. He holds a Master's in Computer Science from the University of Calgary and a first-class B.Sc. in Engineering Science from the University of Tehran, and currently researches spiking neural networks at the Nicola Computational Neuroscience Lab and Hotchkiss Brain Institute. His background includes teaching multiple computer science courses and practical software work—from frontend development to IoT and web projects—giving him a rare blend of pedagogy, systems engineering, and research practice. Navid’s work sits at the intersection of brain-inspired models and cloud-scale computation, and he brings hands-on experience translating academic ideas into reproducible code and experiments. Notably, his trajectory shows a consistent move from embedded and web prototypes to advanced spiking-network research, reflecting both broad technical fluency and deepening specialization.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Engineering Science, Bachelor's degree, Engineering Science at University of Tehran
Master's degree, Computer Science, Master's degree, Computer Science at University of Calgary
English, Persian