Summary
Daney Alex is a doctoral candidate and design engineer specializing in mixed-signal IC design for brain-computer interfaces at EPFL’s Integrated Neurotechnologies Laboratory, with eight years of experience across VLSI, signal processing and embedded systems. He has applied low-power, highly compressed VLSI architectures to real-time FPGA implementations for adaptive filtering and channel estimation, and has industry experience in AI, metaverse and robotics-focused design at Simelabs. Based in Lausanne, he bridges academic research and practical hardware implementation, moving concepts from algorithm to silicon prototype. His work uniquely combines neuroscience-driven system requirements with rigorous low-power analog/digital circuit techniques, reflecting a focus on deployable neurotechnology rather than only theoretical models.
8 years of coding experience
1 year of employment as a software developer
MS by Research, VLSI Signal Processing and Machine Learning, MS by Research, VLSI Signal Processing and Machine Learning at IIT PALAKKAD
Bachelor of Technology, Electronics and Communication, Bachelor of Technology, Electronics and Communication at College of Engineering ,Chengannoor
Doctor of Philosophy - PhD, IC Design @ Integrated Neurotechnologies Laboratory, Doctor of Philosophy - PhD, IC Design @ Integrated Neurotechnologies Laboratory at EPFL (École polytechnique fédérale de Lausanne)