[email protected] Runchun Mark Wang is a postdoctoral fellow at The MARCS Institute. Dr Wang's supervisor is Professor André van Schaik and his research field is Neuromorphic Engineering. The project he is working on is Hardware Acceleration for Neural Systems. As part of this project, Dr Wang will help build an electronic system, which includes both FPGA implementation and mixed/signal analogue VLSI, which is capable of simulating neural networks of a size similar to that of the human brain. Mark will provide open source software, so that other researchers can also use the system. His PhD topic was "Neuromorphic Implementations of Polychronous Spiking Neural Networks". The work includes the design of a polychronous spiking neural network using a novel delay-adaptation algorithm, an FPGA implementation of the proposed neural network, an analogue implementation of the proposed neural network, and their integration into a mixed-signal platform. Before Mark started his PhD study, he worked as a SoC/ASIC design engineer in industry.