Dr. Julija Pecerska

Dr. Julija Pecerska
ZHAW
Life Sciences und Facility Management
FS Bioinformatics
Schloss
8820 Wädenswil
Persönliches Profil
Tätigkeit an der ZHAW
Postdoctoral researcher at the Applied Computational Genomics team.
Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse
Computational molecular evolution
Stochastic modelling and simulation for genetic data
Phylogenetics and phylodynamics for epidemiology
Software development and maximum likelihood inference
Aus- und Fortbildung
PhD in Computational Evolution (2014-2019) - Department of Biosystems Science and Engineering, ETH Zürich
MSc in Computer Science (2012-2014) - Computer Science Department, ETH Zürich
BSc in Computer Science (2008-2012) - Faculty of computing, University of Latvia
Beruflicher Werdegang
Due to my inherent curiosity during my years in research I have worked on various topics ranging from pure computer science to tuberculosis epidemiology using phylodynamics, to method development for computational biology. I enjoy working on societally impactful problems and have worked hard to gain a unique panoramic view of the field and learn where my diverse skills are best applied.
Moreover, I love engaging with the community and sharing my knowledge with others. I have helped organise and taught in multiple Taming the Beast (https://taming-the-beast.org/) workshops around the globe and will be a teaching assistant in the CoME 2022 (https://coursesandconferences.wellcomeconnectingscience.org/event/computational-molecular-evolution-20220718/) and CoME 2023.
www.linkedin.com/in/j%C5%ABlija-pe%C4%8Derska-5859b135/
Projekte
Publikationen
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Jowkar, Gholamhossein; Pecerska, Julija; Maiolo, Massimo; Gil, Manuel; Anisimova, Maria,
2022.
Systematic Biology.
72(2), S. 307-318.
Verfügbar unter: https://doi.org/10.1093/sysbio/syac050
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Pecerska, Julija; Kühnert, Denise; Meehan, Conor J.; Coscollá, Mireia; de Jong, Bouke C.; Gagneux, Sebastien; Stadler, Tanja,
2021.
Quantifying transmission fitness costs of multi-drug resistant tuberculosis.
Epidemics.
36(100471).
Verfügbar unter: https://doi.org/10.1016/j.epidem.2021.100471
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Anisimova, Maria; Pečerska, Jūlija; Schaper, Elke,
2015.
Statistical approaches to detecting and analyzing tandem repeats in genomic sequences.
Frontiers in Bioengineering and Biotechnology.
3(31).
Verfügbar unter: https://doi.org/10.3389/fbioe.2015.00031
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Schaper, Elke; Korsunsky, Alexander; Pečerska, Jūlija; Messina, Antonio; Murri, Riccardo; Stockinger, Heinz; Zoller, Stefan; Xenarios, Ioannis; Anisimova, Maria,
2015.
TRAL : tandem repeat annotation library.
Bioinformatics.
31(18), S. 3051-3053.
Verfügbar unter: https://doi.org/10.1093/bioinformatics/btv306
Publikationen vor Tätigkeit an der ZHAW
See full publication list at scholar.google.ch/citations.