Prakhar Dutta obtained his Master’s degree in Biomedical Engineering from RWTH Aachen University, Germany, and his Bachelor’s degree from VIT University, India. During his Bachelor’s thesis at Taipei Medical University, Taiwan, he worked on the development of gelatin-based nanoparticles for the treatment of choroidal neovascularization. As part of his Master’s studies, he completed a research internship at Uppsala University, Sweden, and carried out his Master’s thesis at Carl Zeiss AG in Karlsruhe, Germany. 
Prakhar is currently a doctoral candidate at the University of Gothenburg (UGOT) within the SPM 4.0 Doctoral Network. His research focuses on developing a machine-learning model for autonomous analysis of multiparametric Scanning Probe Microscopy (SPM) data, as well as on the development of a dual optical-tweezer-based smart trap system for single-particle experimentation.

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