Ali Yousefi is an Associate Professor and computational neuroscientist with over a decade of cross-disciplinary experience spanning academia, industry R&D, and neurotechnology startups. He develops mathematical, signal-processing, and neural-data analysis tools applied to brain–machine interfaces and clinical neuroengineering, having led science teams at Neurable and contributed to DARPA’s SUBNETS at Harvard Medical School. His background combines a PhD in Electrical Engineering with hands-on work in product-focused neural sensing (Kernel, Neurable) and statistical methods developed during visiting research at Boston University and Mayo Clinic. Ali’s career blends rigorous theory and practical implementation—from DSP and biometric systems early in his career to translational models of stimulation-evoked neurochemistry—making him adept at moving algorithms toward real-world neurotech. Now based in Greater Boston and recently appointed at the University of Houston, he brings both startup agility and deep academic mentorship to lab-to-clinic projects. A less obvious strength is his long trajectory across hardware, software, and statistical modeling, enabling him to bridge experimental design, computational analysis, and engineering delivery.
10 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at University of Southern California
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Iran University of Science and Technology
Master's degree, Digital Signal Processing, Master's degree, Digital Signal Processing at Sharif University of Technology
Contributions:6 commits, 5 pushes, 1 branch in 1 year 3 months
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