Position: PhD Student
Email: katarzyna.markowska@amu.edu.pl
Room: 1.25
Research Interests
- species distribution modeling
- machine learning in biology
- virtual species and virtual ecologist framework
Current Projects
- “Szklane pułapki” Android app (in cooperation with Szklane Pułapki Foundation and H. Cegielski School of Communication in Poznań)
- Android app for storks monitoring (in cooperation with Poznań University of Live Sciences and H. Cegielski School of Communication in Poznań)
- Population-level consequences of social information use: a semi-experimental approach (National Science Centre, grant no. 2018/29/B/NZ8/00066, Co-Investigator)
- Outlier detection in biodiversity monitoring data (Poznan Supercomputing and Networking Center grant no. 403)
Completed Projects
- A bidirectional selection experiment to test the evolution of specialization and dispersal in the invasive wheat curl mite, Aceria tosichella (National Science Centre grant no. 2016/21/B/NZ8/00786, Co-Investigator)
- Host specialization-generalization trade-offs in an invasive wheat curl mite, Aceria tosichella (National Science Centre grant no. 2017/27/N/NZ8/00305, Co-Investigator)
- Influence of domestic cat predation on wild bird populations in Poland (grant no. 001/34/UAM/0004 within the “Initiative of Excellence – Research University” (ID-UB) project, PI)
- rangr: An R package for mechanistic, spatially explicit simulation of species range dynamics (MSc project)
- The evaluation of different machine learning methods for building spatial distribution models of common bird species (BSc project)
- Mechanisms to maintain heterozygosity during dispersal in a haplodiploid mite species (founded by the Dean of Faculty of Biology AMU, grant no. GDWB-07/2018, Co-Investigator)
Career History
- 2020 – to date: PhD student, Adam Mickiewicz University
- 2020: MSc degree in bioinformatics, Adam Mickiewicz University in Poznan and Poznan University of Technology
- 2018: BSc degree in bioinformatics, Adam Mickiewicz University in Poznan and Poznan University of Technology
Internships & workshops
- 2023: Introduction to GLMs with spatial, and spatial-temporal correlation using R-INLA – face to face course by Highland Statistics Ltd
- 2023: SGroup Blended Intensive Programme (BIP) on Doctoral Education – (20-25.09.2023 – online, 02-06.10.2023 – face to face), University of Valladolid, Spain
- 2022: ISEC2022 International Statistical Ecology Conference – “Hierarchical modeling with nimble” and “Advances in quantifying space-use and habitat-selection of animals” workshops
- 2021: YoMos Workshop 2020 (Young Modellers in Ecology – working group of The Ecological Society of Germany, Austria and Switzerland – GfÖ)
- 2020: vISEC2020 International Statistical Ecology Conference – “Level Up your R Package Workshop”
- 2020: YoMos Workshop 2020 (Young Modellers in Ecology – working group of The Ecological Society of Germany, Austria and Switzerland – GfÖ)
- 2019: “Agend-based and Individual-based modelling using NetLogo” – workshop held at the Free University of Berlin (Germany)
- 2019: “Introduction to calculations on EAGLE (PRACE Tier-1)” – course by Poznan Supercomputing and Networking Center
- 2017: Poznan Supercomputing and Networking Center (student internship)
Honors & awards
- 2019: Rector of AMU Scholarship -awarded to the best students
- 2017: Rector of AMU Scholarship -awarded to the best students
- 2016: Rector of AMU Scholarship -awarded to the best students
2022
ISEC2022 International Statistical Ecology Conference, 27.06-01.07.2022, online presentation “rangr: An r package for simulating range dynamics of virtual species”, Katarzyna Markowska, Katarzyna Malinowska, Lechosław Kuczyński
Polish Evolutionary Conference, Toruń, 19.09 – 21.09.2022, poster presentation “rangr: An r package for simulating range dynamics of virtual species”, Katarzyna Markowska, Katarzyna Malinowska, Lechosław Kuczyński
2021
Young Modellers in Ecology Workshop, real-time online presentation “An R package for mechanistic, spatially explicit simulation of species range dynamics”
Doctoral Forum Conference, real-time online presentation “Methods of inferring biotic interactions based on meta-population time series data”
2020
Young Modellers in Ecology Workshop, real-time online presentation „Methods and examples of tools for modelling species range dynamics”
2019
Vth International Conference on Research and Education in Poznań, poster presentation “The evaluation of different machine learning methods for building spatial distribution models of common bird species”
Conference Analysis of Issues, Analysis of Results – Speech by a Young Scientist, oral presentation “Machine learning in predictive species distribution modeling” (prize)
Conference Analysis of Issues, Analysis of Results – Speech by a Young Scientist, poster presentation “Evaluation of machine learning methods efficiency in building distribution models of common birds species”
Virtual Conference of Young Naturalists – video presentation “How to build species distribution models?” (prize)
Current classes
- Programming in R
Previous classes
- Statistical Methods in Environmental Protection
- Ecological Modelling
- LINUX environment and scripting languages
2023
Malinowska, K., Markowska, K., & Kuczyński, L. 2023. Making virtual species less virtual by reverse engineering of spatiotemporal ecological models. Methods in Ecology and Evolution 14(9): 2376–2389. https://doi.org/10.1111/2041-210X.14176