Summary
Yang Lin is a postdoctoral researcher at EPFL's AQUA Lab with eight years of experience at the intersection of machine learning, neuromorphic engineering, and biomedical imaging. He completed a PhD in Biomathematics, Bioinformatics and Computational Biology at EPFL after earning a BE in Automation from Shanghai Jiao Tong University, bringing strong quantitative and systems-level thinking to imaging sensor problems. His work focuses on SPAD image sensors, spiking neural networks, and FLIM, translating neuromorphic concepts into practical imaging and signal-processing solutions. Yang blends experimental hardware insight with algorithmic expertise in ML and biomedical image processing, enabling advances in low-light and time-resolved imaging. He is comfortable moving between theory and lab implementation, a trait reflected in his transition from PhD candidate to postdoc within the same cutting-edge research environment. Colleagues note his ability to distill complex sensor and neural models into reproducible workflows that advance both publications and prototypes.
8 years of coding experience
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at EPFL (École polytechnique fédérale de Lausanne)
Bachelor of Engineering - BE, Automation Engineer Technology/Technician, Bachelor of Engineering - BE, Automation Engineer Technology/Technician at Shanghai Jiao Tong University
French