About Me

As a neuromorphic researcher, my work primarily focuses on developing neuromorphic algorithms, particularly spiking neural networks (SNNs), with a special emphasis on uncertainty estimation and speech enhancement. Uncertainty estimation is a key tool for assessing the reliability of machine learning models, enabling robust decision-making in dynamic and noisy environments. It is vital for high-stakes applications such as self-driving vehicles, medical image processing, and financial forecasting. I have extensive research experience on speech separation, a task that isolates a target speech from background noise (speech enhancement) or other interfering speakers (speaker separation).