Daksh Daksh
Max Planck Institute for Polymer Research
Main Focus
Daksh's research focuses on automated Correlative Light and Electron Microscopy (CLEM) using Deep Learning to identify intracellular nanoparticles. He is working on multi-resolution cross-modality image registration with automated image pre-processing using training free unsupervised deep learning. This project leads him to learn more about localization of events in biological image analysis and focusing in depth of intracellular nanostructures and nanotargets lying in the different bio-image datasets.
Curriculum Vitae
Daksh has studied Bachelor of Technology (Honors) - Computer Science and Engineering in First Division from India in 2012. He got campus selection in AonHewitt India as Software Engineer before his graduation and then he worked there for 2 years on IBM mainframes and Lotus notes. He secured All India Rank -159 (JEST) in Theoretical Computer sciences and pursued his Masters in Forensic Nanotechnology (Nano Engineering) with Distinction in 2016 from National Forensic Sciences University, India. Following, he worked in University of Greifswald, Germany for 10 months and afterwards, he joined National Taiwan Normal University, Taiwan for 3 years having exposure to different supervised and unsupervised machine learning techniques. He worked on different projects on pattern recognition, weather forecasting, stock market prediction, optical defect detection for holographic image datasets using machine learning, data augmentation for deep learning based on digital holograms and for artificial image datasets using generative adversarial networks (GANs). In March 2020, he failed to join Heidelberg University for doctoral studies due to Covid-19 pandemic. But later, he joined Max-Planck Institute for Polymer Research (MPIP), from October 2021, as doctoral student in Electron Microscopy Group under Department of Physical Chemistry of Polymers.