Researching industrially relevant metallic materials using mainly synchrotron X-ray based techniques with a focus on imaging. Techniques include scanning X-ray fluorescence and diffraction, X-ray Absorption spectroscopy and imaging, photoemission electron microscopy. Experiments at large-scale synchrotron facilities results in very large datasets. Much of my responsibility was in processing this data and extracting insights for stakeholders through data visualization. • Developed software pipelines in python for the processing,harmonization and analysis of large multidimensionaldatasets (up to TBs).• Long-term project planning including internationalcollaborators and facilities. From idea to data collection,data processing, and interpretation.• Distilled data into images, videos, and graphs for temporaland spatial correlation and interpretation. These were thenused for communications and discussions in the form oforal presentations at conferences and in scientific articles.• Ensured data reproducibility and consistency throughscript-based processing and metadata integration.• Applied segmentation analysis techniques such as clusteringusing common python data science packages such as scikit-learn.• Utilized image processing with OpenCV for tasks like imageregistration.• Stayed informed about advancements in the field ofmachine learning.• Collaborated internationally and domestically with expertsin other fields, such as manufacturing and samplepreparation experts.

Master thesis at Sandvik SRP. Development and characterization of new materials for stone crusher liners

Research assistant at iprod (Industrial production) at LTH, which deals with research in materials and production technology. My task was to extract certain data from a FEM-simulation of a cutting-tool done in Abaqus CAE, perform some additional calculations and present the results in easily interpretable graphs. This resulted in a graphical python program that was used to map clusters of pressure and temperature to regions on the cutting-tool. The purpose was to produce graphs to aid in the process of applying for a research grant. A possible research project would then investigate the relationship between temperature, pressure and material flow to new phases created on the tool during cutting.Interfacing with Abaqus was also done with python and this required me to quickly get familiar with FEM simulations and the Abaqus Scripting Interface.

Main task was to recruit new student members and represent the Association at job fairs and local campus events on Lunds Tekniska Högskola. The job allowed me to further develop my communication and teamwork skills and was a perfect fit for me as I always enjoy meeting new people. The job also included whole day courses in sales several times per year.

Summer job as Process Operator in semiconductor fab. Optical and electrical probing of wafers and individual microchips. Defect inspection of chips using optical microscope. 300+ hrs of cleanroom experience. I learned what the general process workflow is like starting from pure silicon to finished chip inside a modern commercial semiconductor plant.

SI coaches students in their studying and lets them develop and acquire new and effective learning methods. I was in charge of planning, preparing and leading SI exercises in the course 'Calculus in one variable' for first year students.

Summer job as caretaker in assisted-living home. A regular day consisted of helping residents in different ways such as getting dressed, laundry, cooking and cleaning. A big part also consisted of providing companionship.This job helped me extend my teamwork abilities.Planning, and with room for anomalies, was an important part of the job.