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Yang Lin

Doctoral Assistant

About Me

I am currently a doctoral assistant at AQUA Lab, EPFL. I am working on marrying single-photon avalanche diodes (SPADs) with artificial and spiking neural networks for biological and medical imaging.

Interests

Machine Learning
Fluorescence Lifetime Imaging
Biomedical Imaging Processing

Education

Ph.D. in Computational and Quantitative Biology
École Polytechnique Fédérale de Lausanne
B.Eng. in Automation
Shanghai Jiao Tong University

📚 My Research

I’m a doctoral assistant in the AQUA lab at EPFL. I am working on integrating neural networks near and within the SPAD sensors, especially recurrent neural networks and spiking neural networks.

I design the ASIC SPAD image sensors, FPGA-based neural processing units, software for control and visualization, and optical setup for fluorescence lifetime imaging.

Please reach out to collaborate 😃

Recent Publications

Dominique Davenport, Audrey Eshun, Brandon Demory, Shervin Kiannejad, Paul Mos, Yang Lin, Edoardo Charbon, Tiziana Bond, Mike Rushford, Claudio Bruschini, Others (2025). 3D quantum ghost imaging microscope. Quantum Sensing, Imaging, and Precision Metrology III.

Cite

Duncan P Ryan, James H Werner, Kati a Seitz, Dean P Morales, Rebecca Holmes, Edoardo Charbon, Claudio Bruschini, Paul Mos, Yang Lin (2025). Moving quantum ghost imaging from demonstration to application. Photonic Instrumentation Engineering XII.

Cite

Yang Lin, Paul Mos, Andrei Ardelean, Claudio Bruschini, Edoardo Charbon (2024). Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging. Scientific Reports.

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Dominique Davenport, Audrey Eshun, Brandon Demory, Shervin Kiannejad, Paul Mos, Yang Lin, Michael Wayne, Sam Jeppson, Ashleigh Wilson, Tiziana Bond, Others (2024). Quantum ghost imaging microscopy depth-of-field study. Optics Express.

Cite

Yang Lin, Edoardo Charbon (2024). Spiking Neural Networks for Active Time-Resolved SPAD Imaging. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

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