Dr. Olga Lezhnina

As a postdoctoral researcher at the Knowledge Infrastructures Research Group, I participate in the implementation of the born-reusable approach to structured scientific knowledge production. I focus on developing Python and R libraries that researchers can use for creating machine-actionable scientific information at the stage of data analysis, and on introducing a framework of templates for the structured description of statistical data analysis.

After obtaining my first degree in physics in 1995, I worked for many years in education, and graduated from the MSc Psychology: Learning Sciences program at the LMU Munich in 2018. In Munich, I taught students the fundamentals of statistical methodology and data analysis in R. I started working at the TIB in 2019, wrote my thesis on valid and versatile methods of data analysis, and in 2023 obtained the PhD in Natural Sciences at the Leibniz University Hannover.

Research

My research interests include the data science methodology, advanced statistical and machine learning methods, knowledge representation and information science, educational psychology and human-technology interaction, etc. I am particularly interested in tackling intricate coding challenges and developing software that provides optimal user experience.

The list of publications can be found at ORCID: https://orcid.org/0000-0003-2237-7725

Contact

Email: olga.lezhninatibeu

Phone: +49 511 762-19044