Summary
Karina Thran-rojas is a postdoctoral researcher with a decade of research experience and eight years focused on data-intensive astrophysics, currently based in Solothurn, Switzerland. She specializes in Python-driven data processing, visualization, statistical modeling and ML using Numpy, Pandas, Scikit-learn and TensorFlow, and routinely applies simple SQL and data catalog manipulation to large survey datasets. Her career includes postdoctoral roles at EPFL, University of Portsmouth and FHNW and a competitive LSSTC Data Science Fellowship, reflecting deep experience with large astronomical surveys and reproducible analysis pipelines. Beyond coding, she has led projects, supervised students, presented at international conferences and produced outreach content, showing she communicates complex science to both specialist and public audiences. Colleagues would describe her as an enthusiastic, committed learner who blends rigorous astrophysics training with practical data-science tooling to turn messy observations into robust, shareable results.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Universidad de Valparaíso
Spanish, English, German