Ali Abdollahzadeh is an Academy of Finland Research Fellow and principal investigator at the University of Eastern Finland with eight years of experience in image processing, shape analysis, and machine learning applied to large electron- and light-microscopy brain datasets. His work bridges academic rigor and practical imaging pipelines developed during a PhD and postdoctoral research at NYU Langone, focusing on diffusion MRI and reconstruction of high-resolution tomography. He has a strong track record in developing and assessing data acquisition and reconstruction methods for electron and X‑ray micro-CT imaging. Based in Finland, Ali combines deep technical expertise in biomedical engineering with hands-on experience in large-scale microscopy data, enabling novel quantitative analyses of brain structure that inform both basic neuroscience and imaging methodology.
8 years of coding experience
2 years of employment as a software developer
PhD student, Medical Image Processing, PhD student, Medical Image Processing at University of Eastern Finland
Master's Degree, Biomedical/Medical Engineering, Master's Degree, Biomedical/Medical Engineering at Tampere University of Technology
Bachelor's Degree, Biomedical/Medical Engineering, Bachelor's Degree, Biomedical/Medical Engineering at Sahand University of Technology
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