Quantitative marine ecologist and fisheries scientist focused on sustainable species management and conservation. Expertise in synthesizing large-scale data sets and applying quantitative tools to address marine ecosystem challenges. Proficient in Python, R, and SQL for data analysis, with GIS skills in ArcGIS and QGIS, and remote sensing capabilities using Google Earth Engine. Committed to leveraging statistical analysis skills for impactful research and conservation initiatives.
Developed advanced analytical techniques to derive insights from fisheries and biological databases.
Applied statistical methods, time series analysis, and spatial modelling to analyse fishery data trends.
Produced informative visual representations of scientific findings through interactive dashboards.
Collaboration and teamwork
Project management
Effective communication
Complex problem solving
Analytical thinking
Data analysis and management
Programming (Python/R)
Big data tools (SQL)
GIS expertise (ArcGIS, QGIS)
Remote sensing techniques (Google Earth Engine)
Statistical analysis
Zeller, D., Ansell, M., Andreoli, V., & Heidrich, K. (2023). Trends in Indian Ocean marine fisheries since 1950: synthesis of reconstructed catch and effort data. Marine and Freshwater Research, 74(4), 301-319.
Heidrich, K. N., Meeuwig, J. J., Juan-Jordá, M. J., Palomares, M. L., Pauly, D., Thompson, C. D., ... & Zeller, D. (2023). Multiple lines of evidence highlight the dire straits of yellowfin tuna in the Indian Ocean. Ocean & Coastal Management, 246, 106902.
Heidrich, K. N., Meeuwig, J. J., & Zeller, D. (2023). Reconstructing past fisheries catches for large pelagic species in the Indian Ocean. Frontiers in Marine Science, 10, 1177872.
Heidrich, K. N., Juan‐Jordá, M. J., Murua, H., Thompson, C. D., Meeuwig, J. J., & Zeller, D. (2022). Assessing progress in data reporting by tuna Regional Fisheries Management Organizations. Fish and Fisheries, 23(6), 1264-1281.