CV

Employments

August 2021 - January 2025: PhD fellow

Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.

The Microbial Ecology and Meta-Omics (MEMO) Group, led by Prof. Phil Pope.

• Development of large scale bioinformatic pipelines for genomics and proteomics.
• Network analysis and integration of multi-omic data.
• Researching fundamental questions in host-microbe interactions.
• Design and configuration of a high performance multi-user computational platform for our entire research group.
• Conference talks and outreach.
  • Pitched poster: Australian Microbial Ecology Conference (AusME), Melbourne, Australia, 2022.
  • Presentation: Congress on Gastrointestinal Function (CGIF), Urbana-Champaign, USA, 2024.
  • Presentation: Applied Hologenomics Conference (AHC), Copenhagen, Denmark, 2024.
• International collaborations. Visiting researcher at:
  • Australian Centre for Ecogenomics, University of Queensland, Australia.
  • Centre for Microbial Research, Queensland University of Technology, Australia.
  • Livestock, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia.
  • Center for Evolutionary Hologenomics, University of Copenhagen, Denmark.
• Teaching Master’s students in environmental bioinformatics by developing and instructing exercises in metagenomics.
  • BIN420 Bioinformatics for Functional Meta-Omics 2024.
  • BIO326 Genome sequencing; tools and analysis 2023-2024.
• Independent and original conceptualization and completion of scientific projects.
• Software engineering, documentation, containerization and distribution.
• Course participitant in topics: Genome scale metabolic modeling, microbial metabolism and physiology, multi- and holo-omic integration, and functional meta-omics.
• Academic writing.
• Interpersonal skills and collaboration.

June 2023 - October 2024: Bioinformatics Consultant

Kobelomics Enk., Ås, Norway

• Consultation on bioinformatic genomic clinical analysis of multi-resistant microbial pathogens.
• Development of bespoke bioinformatic pipelines.

July 2020 - July 2021: Lead Bioinformatician

Department of Clinical Microbiology, Aarhus University Hospital, Skejby, Denmark.

• Molecular infection tracking and surveillance of carbapenemase and vancomycinase producing entero-bacteria.
• Development of pipeline and phylodynamic analysis for governmental large scale sequencing of SARS-CoV-2.
• Teaching and communication across a diverse field professionals.
  • Course in Microbiology for MDs specializing in Microbiology “Rapid long-read sequencing of clinical isolates”.
• Management of student employees.
• Co-authorship of several research papers.

2019 - 2020: Student bioinformatician

Department of Clinical Microbiology, Aarhus University Hospital, Skejby, Denmark.

• Development of bioinformatics pipelines for assembly and comparison of genomes from microbial isolates.
• Co-authorship of several research papers.

Studies

2018 - 2020: Master’s degree (MSc) in Bioinformatics

Bioinformatics Research Centre (BiRC), Faculty of Natural Sciences, Aarhus University (AU), Denmark.

• Master’s thesis on GC-bias in gene conversion. “GC-biased Gene Conversion (gBGC) in Rhizobium leguminosarum”.
• Implementation of string algorithms for phylogenetic analysis, GWAS, genomics, molecular evolution.
• Application of statistical methods and clustering techniques on DNA and expression-data.
• Completion of various scientific projects, including sex-chromosome evolution and parallel optimization of linear time algorithms.

2015 - 2018: Bachelor’s degree (BSc) in Biology

Department of Bioscience, Faculty of Natural Sciences, Aarhus University (AU), Denmark.

• Bachelor’s thesis in bioinformatics on sex-chromosome evolution in higher apes.
• More than one year full time equivalents in bioinformatics courses (BiRC).
• Tutor for new students, years 2016 and 2018.
• Exchange, 6 months at Manipal University (MAHE), Karnataka, India 2018.
  • Fluent english and intercultural relations.

Summary of skills

• A deep understanding of the technical challenges of researching molecular biology and the symbiotic relationships in a wide radiation of species.
• Applied statistics, dimensionality reduction, network analysis, modeling, visualization of large datasets.
• Programming languages, sorted by descending fluency: Python, R, Bash, C, Java.
• Parallelization of big-data workflows using Snakemake.
• Hardware/software/network/user integration and design of workstations for bioinformatic needs running GNU/Linux.
• Packaging and containerization using Conda, Docker, Apptainer.
• Cryptographic handling of sensitive data.