WiNoDa Knowledge Lab
Knowledge Lab for Natural Science Collections and Object-Related Data

As research lead of the WiNoDa Knowledge Lab, I provide training and education on data competencies for researchers and practitioners working with natural science collections. We also organize networking events and develop services and infrastructure for working with collection data.
Work Experience since 2024: Lead of the WiNoDa Knowledge Lab (Natural History Museum, Leibniz Institute for Evolution and Biodiversity Science, Berlin) 2023-2024: Lecturer, postdoc (Brain Language Laboratory, Free University of Berlin) 2017-2023: Postdoc (Potsdam Embodied Cognition Group, University of Potsdam) 2014-2018: Researcher, coordinator of research projects (International Centre for Research in Human Development, Tomsk State University) 2014-2017: Assistant lecturer (Philological Faculty, Tomsk State University) 2013-2014: Secondary school teacher (Tomsk Public School No. 40) Education 2024: Ph.D. in Cognitive Science (University of Potsdam) 2018: Ph.D. in Linguistics (Tomsk State University) 2015: M.A. in Cognitive Linguistics (Tomsk State University) 2015: German language translator (additional education) (Tomsk State University) 2013: B.A. in Philology (Tomsk State University)
Teaching Cognitive Science, Experimental Psychology, and Linguistics Linguistic Methods and Research Questions (seminar for undergraduate students) Language Function: Language(s), Words, and Concepts in the Brain (seminar for undergraduate students) Experimental Psychological Training (ExPrak) (seminar for undergraduate and graduate students) General Linguistics (seminar for undergraduate students) Linguistics in the System of Natural Sciences (seminar for graduate students) Introduction to Applied Linguistics (lecture and seminar for undergraduate students) Statistics and Computational Linguistics Linear mixed-effects modeling in R (workshop for graduate students) Linguistic Databases (lecture and seminar for undergraduate students) Corpus Linguistics (lecture and seminar for undergraduate students) Content Analysis (lecture and seminar for undergraduate and graduate students) Communication Science Introduction to Communication Theory (seminar for undergraduate students) Advertising and PR (seminar for undergraduate students)
Knowledge Lab for Natural Science Collections and Object-Related Data
