As a Doctoral Student, I excel at every stage of the scientific process, demonstrating expertise in experimental setup, measurement, data acquisition, data pre-processing, segmentation, post-processing, quantification, and scientific analysis. My primary focus lies in pioneering innovative techniques for imaging and processing live, dynamic objects at the nanometer scale.In my current role, I leverage the power of interferometric scattering microscopy to unlock critical insights into… Show more As a Doctoral Student, I excel at every stage of the scientific process, demonstrating expertise in experimental setup, measurement, data acquisition, data pre-processing, segmentation, post-processing, quantification, and scientific analysis. My primary focus lies in pioneering innovative techniques for imaging and processing live, dynamic objects at the nanometer scale.In my current role, I leverage the power of interferometric scattering microscopy to unlock critical insights into the sensing mechanisms of antibiotic-resistant bacteria. By harnessing advanced deep learning tools, I implement precise image segmentation algorithms that facilitate accurate quantification and a comprehensive understanding of mechanosensing in antibiotic-resistant bacteria. This comprehensive research effort holds great potential in driving the discovery of effective treatments to combat antibiotic-resistant bacteria and address the challenges posed by these resilient strains. Show less

This job entails observing the time development of mouse embryonic stem cells as they grow into organoids in three dimensions. I employ deep-learning algorithms to automate the detection of membranes and seek solutions to quantify the concentration of specific receptors critical for organoid development. My focus also involved creating a GPU-accelerated pipeline for automated image analysis in 3D over time, using two color channels. This pipeline aims to aid scientists working with mouse… Show more This job entails observing the time development of mouse embryonic stem cells as they grow into organoids in three dimensions. I employ deep-learning algorithms to automate the detection of membranes and seek solutions to quantify the concentration of specific receptors critical for organoid development. My focus also involved creating a GPU-accelerated pipeline for automated image analysis in 3D over time, using two color channels. This pipeline aims to aid scientists working with mouse embryonic stem cell data in understanding embryo development and the triggers behind key growth steps. Show less

Main tasks: Computer modeling subteam. Public outreach

As a Bachelor's student job, I took charge of developing a Matlab code solution to streamline the automatic evaluation of microscopy data, specifically targeting diatoms gliding motility (C. australis). This project demanded adept handling of large-scale image datasets and the production of databases to parameterize the gliding motility. Furthermore, I employed model-based techniques for precise segmentation and tracking, ensuring accurate extraction of relevant information. Additionally, I… Show more As a Bachelor's student job, I took charge of developing a Matlab code solution to streamline the automatic evaluation of microscopy data, specifically targeting diatoms gliding motility (C. australis). This project demanded adept handling of large-scale image datasets and the production of databases to parameterize the gliding motility. Furthermore, I employed model-based techniques for precise segmentation and tracking, ensuring accurate extraction of relevant information. Additionally, I conducted thorough data post-processing to optimize analysis outcomes and generate meaningful insights. Show less

In this position at the Institute for Applied Physics, I worked as a Python programmer. One of my main tasks involved creating code to assess the effectiveness of organic light-emitting diodes (OLEDs). The outcomes of my work were instrumental in improving the production of OLEDs, as they provided a clear and measurable indication of production success.