Leading the development of particle detectors for accelerators, developing datapipelines for experimental setups, and supervising of graduate students

- Developed innovative particle detectors employed at the T9 beam line at CERN, considerably reducing costs in component procurement.- Programmed advanced data preprocessing algorithms to improve detector's precision by 40%. - Built and maintained effective data pipelines in C, C++ and Python, developing data acquisition programs for maximal data quality.- Applied trend analysis to forecast beam line's particle purity, impacting the collaboration's decision-making and project's budget.

- Taught and mentored hundreds of undergraduate students, leading hands-on laboratory sessions and achieving 100% teaching approval rate. - Applied innovative teaching methodologies, fostering a systematic approach to problem-solving and increasing student satisfaction with the laboratory practice.- Instructed classes in data presentation and statistical analysis in Excel to more than 100 students, increasing student engagement problem-solving abilities.

- Developed advanced data visualization and statistical techniques in Mathematica, improving model prediction by 15%.- Automated data collection and preprocessing tasks using Bash and Python to streamline data-analysis workflows and saving 3 weeks in project timeline.

- Developed computational solutions to differential equations.- Applied statistical methods and data visualization tools to numerical data.- Presented results in congresses and conferences.