cv
Basics
Name | Kristina Gagalova |
Label | Bioinformatics Scientist |
kristina.gagalova@curtin.edu.au | |
Url | https://kristinagagalova.github.io/ |
Summary | Bioinformatics researcher developing genomics methods for data-driven discovery |
Work
-
2023.10 - current Research fellow
Centre for Crop and Disease Management, Curtin University
I develop bioinformatics methods to study plant-pathogen interactions and genome variability using pangenomics, protein structures and high-performance computing
- Pangenomes
- Protein structures
Volunteer
-
2025.01 - current Ambassador
Nextflow Ambassador Program
Promote Nextflow and nf-core, mentor and support students and developers in Nextflow.
Education
-
2017.01 - 2022.05 Vancouver, Canada
PhD
University of British Columbia - Genome Sciences Centre
Algorithms for genome annotations and comparative genomics in complex genomes
- Genomics
- Evolutionary Genomics
- High Performance Computing
-
2013.09 - 2015.09 Amsterdam, The Netherlands
MSc
Vrije University
Bioinformatics algorithms and Machine Learning
- Dynamic programming
- Data mining
- Bioinformatics databases
-
2010.10 - 2013.03 Bologna, Italy
MSc
University of Bologna
Biotechnology and Synthetic biology
- Model organisms
- Molecular genetics
- Translational research
Awards
- 2013.11.01
FindAMasters fellowship
FinAMasters
Awarded by FindAMasters in recognition of exceptional academic performance, active engagement within the postgraduate community, and a positive influence on peers.
- 2013.09.01
VU Fellowship Programme
Vrije University of Amsterdam
A competitive merit-based award covering tuition fees for outstanding students
Certificates
Machine Learning Specialization | ||
Stanford Online | 2025-10-01 |
Publications
-
2024.10.01 Leaf pigmentation in Cannabis sativa: Characterization of anthocyanin biosynthesis in colorful Cannabis varieties
Plant Direct
Characterization of pigmentation genes in cannabis
-
2022.07.01 Spruce giga‐genomes: structurally similar yet distinctive with differentially expanding gene families and rapidly evolving genes
The Plant Journal
Spruce Giga-genomes comparative genomics and genome annotation
Skills
Bioinformatics | |
Pangenomics methods | |
Omics data analysis | |
Statistics for omics data |
Software development | |
Object-oriented programming | |
Functional coding | |
Python | |
GROOVY |
Reproducible research | |
Findable, Accessible, Interoperable, and Reusable (FAIR) | |
Pipelines |
Languages
Bulgarian | |
Native speaker |
Italian | |
Native speaker |
English | |
Fluent |
Interests
Science philosophy | |
Epistemology | |
Logic | |
Ontology | |
Scientific Thinking |
References
. |
. |
Projects
- 2025.01 - current
Plant pangenomics
Developing computational methods to construct and analyze graph-based representations of pangenomes, enabling more accurate modelling of genomic variation across populations and improving downstream analyses like variant calling, functional annotation, and comparative genomics
- Structural variants
- Rare gene variants
- 2025.06 - current
Structural bioinformatics for pathogenicity characterization
Using computational models to predict and analyze protein structures and their interactions, aiding in the understanding of molecular function, binding mechanisms, and potential targets for disease development in crops.
- Protein-protein interaction
- Effectors