Dr. Julija Pecerska

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

• Frequentist estimation of the evolutionary history of sequences with substitutions and indels / Teammitglied / Projekt abgeschlossen

Publikationen

• Jowkar, Gholamhossein; Pecerska, Julija; Maiolo, Massimo; Gil, Manuel; Anisimova, Maria,

  2022.

  ARPIP : ancestral sequence reconstruction with insertions and deletions under the poisson indel process.

  Systematic Biology.

  Verfügbar unter: https://doi.org/10.1093/sysbio/syac050

• 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

• 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

• 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.

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