Changjia Cai
Postdoctoral Researcher at Institute of Neuroscience (ION), Chinese Academy of Sciences, Shanghai
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolChangjia Cai is a postdoctoral researcher with 8 years of experience at the intersection of biomedical engineering, computational imaging, and neuroscience, currently working on intracortical brain-computer interfaces at the Institute of Neuroscience, Chinese Academy of Sciences. He earned a PhD from UNC Chapel Hill’s Joint Department of Biomedical Engineering and has driven projects developing fast fluorescence microscopes and advanced image-analysis pipelines. A strong quantitative foundation (MS in Statistics and Operations Research, BS in Physics) underpins his work on motion correction, source extraction, and spike deconvolution for large-scale calcium and voltage imaging. Changjia is an active contributor to the widely used CaImAn toolbox, where he implemented demo pipelines and voltage-imaging extensions, reflecting his blend of practical software development and domain-savvy data science. Colleagues value his ability to translate cutting-edge optics and algorithmic advances into reproducible analysis tools for neural decoding and motor-control research.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Fudan UniversityDoctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at University of North Carolina at Chapel Hill
Github Skills (6)
deconvolution10
python10
image-processing10
data-analysis10
machine-learning9
tensorflow7
Programming languages (3)
Github contributions (5)
flatironinstitute/CaImAn
May 2019 - Dec 2022
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:14 reviews, 110 commits, 13 PRs in 3 years 7 months
Contributions summary:Changjia contributed to the development of a complete demo pipeline for processing 2-photon calcium imaging data, focusing on motion correction, source extraction, and deconvolution. The user's work involved implementing a pipeline for voltage imaging data using the CaImAn batch algorithm. Moreover, the user added a function for pursuit spikes in the context of voltage imaging data analysis within the CaImAn framework.
extractionpythondeconvolutionimagingcnmf
nel-lab/FIOLA
May 2020 - Nov 2022
Contributions:3 releases, 1 review, 178 commits in 2 years 6 months
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