Summary
Jibin Wu is an Assistant Professor and former Research Fellow with 8 years of experience at the intersection of neuromorphic computing, deep learning, and speech processing. Based in Singapore, he completed a PhD at NUS focused on spiking neural network learning algorithms and their applications, and translated that research into industry practice as a Research Scientist at Sea. His work blends rigorous academic research with applied ML development, particularly in spiking neural networks and automatic speech recognition. Jibin’s profile reflects a steady progression from top-tier academic training (First Class Honours BEng) to research roles and now faculty leadership, signaling both technical depth and emerging mentorship. He maintains an active research presence (personal website) and a practical orientation toward deploying biologically inspired neural models in real-world systems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Neuromorphic Computing, Deep Learning, Automatic Speech Recognition and Speech Processing, Doctor of Philosophy - PhD, Neuromorphic Computing, Deep Learning, Automatic Speech Recognition and Speech Processing at National University of Singapore