Yuanlong ZHANG

Yuanlong ZHANG is an Assistant Professor in the School of Life Sciences at Tsinghua University, where he also serves as a Principle Investigator at the Center for Life Sciences & IDG/McGovern Institute for Brain Research. His research focuses on the intricate interplay of local functional networks in brain functions, with an emphasis on developing advanced optical and computational methodologies for large-scale in vivo neural recordings. His work addresses key questions in information theory, systems neuroscience, and brain-inspired intelligence. Zhang has published extensively in top-tier journals such as Cell, Nature Biomedical Engineering, and Nature Methods, and has received notable recognition, including the 2022 Shuimu Scholar program and the 2024 Outstanding Postdoctoral Fellowship.

Yuanlong Zhang is a researcher at Tsinghua University specializing in biophotonics. His work focuses on developing advanced imaging techniques to enhance the sensitivity, resolution, and efficiency of biological imaging systems. Zhang's research includes real-time denoising methods for fluorescence imaging, deep learning approaches for neuron extraction and spike inference, and the design of compact, high-speed microscopes for in vivo and mesoscale imaging. His publications explore innovations in light-field microscopy, single-pixel imaging, and multi-focal fluorescence imaging, with an emphasis on overcoming challenges in noise reduction, axial resolution, and long-term subcellular dynamics recording.