Yang Lin

Yang Lin is a doctoral assistant at the AQUA Lab within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL). He works on integrating single-photon avalanche diodes (SPADs) with artificial and spiking neural networks for biological and medical imaging applications, particularly fluorescence lifetime imaging.

• Ph.D. in Computational and Quantitative Biology (expected 2025), École Polytechnique Fédérale de Lausanne
• B.Eng. in Automation (2020), Shanghai Jiao Tong University

His research focuses on developing intelligent image sensors by combining SPAD technology with neural networks, including ASIC SPAD sensors, FPGA-based processing units, and optical setups for biomedical applications. He is exploring spiking neural networks (SNNs) for energy-efficient, real-time imaging with SPADs.

Yang's recent publications highlight advancements in quantum ghost imaging, SPAD sensor integration with neural networks, and fluorescence lifetime imaging. He has presented at conferences like WACV 2024 and received recognition for his work at BMPN 2022.

• Best Talk of a Young Researcher, BMPN 2022

He designs hardware-software co-systems for biomedical imaging and is open to research or engineering roles post-2025.