Email: ines(DOT)ferreira-coelho(AT)univie.ac.at

Postal address:
Ares Genetics GmbH
a Curetis Group Company
Karl-Farkas-Gasse 18
1030 Vienna, Austria

Research interests

  • Antimicrobial resistance
  • Healthcare
  • Machine learning

Education

  • May 2018 - present: Ph.D. student - Natural Sciences (Life Sc.): Molecular Biology - Universität Wien, Austria
  • Sept 2014 - Jun 2017: Master’s degree - Bioinformatics and Computational Biology, Faculdade de Ciências da Universidade de Lisboa
  • Sept 2010 - Jun 2014: Bachelor’s degree - Molecular and genetics biology, Faculdade de Ciências da Universidade de Lisboa

Professional Experience

  • May 2018 - present: Junior Researcher Microbial Bioinformatics & Clinical Microbiology at Ares Genetics

Talks and Posters

2019

  • ISCB-ECCB, Basel, 2019
    Poster: “Harmonizing Public Resources to Fight Antimicrobial Resistance”

2018

  • OEGMBT - Austrian Association of Molecular Life Sciences and Biotechnology, Austria, 2018
    Poster: “Antimicrobial Resistance Markers in Molecular Diagnostics: Good Enough for the Clinic?”

Publications

    2021

  • I. Ferreira, S. Lepuschitz, S. Beisken, G. Fiume, K. Mrazek, B.J.H. Frank, S. Huber, M.A. Knoll, A. von Haeseler, A. Materna, J.G. Hofstaetter, A.E. Posch, and J. Weinberger (2021) Culture-Free Detection of Antibiotic Resistance Markers from Native Patient Samples by Hybridization Capture Sequencing. Microorganisms, 9, 1672. (DOI: 10.3390/microorganisms9081672, PMID: 34442751, PMCID: PMC8398375)
  • L. Lüftinger, I. Ferreira, B.J.H. Frank, S. Beisken, J. Weinberger, A. von Haeseler, T. Rattei, J.G. Hofstaetter, A.E. Posch, and A. Materna (2021) Predictive Antibiotic Susceptibility Testing by Next-Generation Sequencing for Periprosthetic Joint Infections: Potential & Limitations. Biomedicines, 9, 910. (DOI: 10.3390/biomedicines9080910, PMID: 34440114, PMCID: PMC8389688)
  • 2020

  • I. Ferreira, S. Beisken, L. Lueftinger, T. Weinmaier, M. Klein, J. Bacher, R. Patel, A. von Haeseler, and A.E. Posch (2020) Species Identification and Antibiotic Resistance Prediction by Analysis of Whole Genome Sequence Data Using ARESdb: An Analysis of Isolates from the Unyvero Lower Respiratory Tract Infection Trial. J. Clin. Microbiol., 58, e00273-20. (DOI: 10.1128/JCM.00273-20, PMID: 32295890)
  • N. Mahfouz, I. Ferreira, S. Beisken, A. von Haeseler, A. Posch (2020) Large-Scale Assessment of Antimicrobial Resistance Marker Databases for Genetic Phenotype Prediction. J. Antimicrob. Chemother., 75, 3099–3108. (DOI: 10.1093/jac/dkaa257, PMID: 32658975)