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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
Intelligent Image Sensors
Computer Vision
Biomedical Imaging (e.g. FLIM)
Microscopy/Macroscopy
Single-photon avalanche diode

Education

Ph.D. in Computational and Quantitative Biology (expected 2025)
École Polytechnique Fédérale de Lausanne
B.Eng. in Automation (2020)
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 biomedical imaging applications, esp. fluorescence lifetime imaging.

I am currently open to work opportunities as a researcher or engineer, with a starting date around the end of 2025. 😃

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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