Dr. Julija Pecerska

Personal profile

Position at the ZHAW

Postdoctoral researcher at the Applied Computational Genomics team.

Expertise and research interests

Computational molecular evolution
Stochastic modelling and simulation for genetic data
Phylogenetics and phylodynamics for epidemiology
Software development and maximum likelihood inference

Educational background

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

Professional milestones

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/

Projects

• Frequentist estimation of the evolutionary history of sequences with substitutions and indels / Team member / Project completed

Publications

• 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.

  Available from: 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).

  Available from: 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).

  Available from: 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), pp. 3051-3053.

  Available from: https://doi.org/10.1093/bioinformatics/btv306

Publications before appointment at the ZHAW

See full publication list at scholar.google.ch/citations.

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