CV

Studies

2021 - 2025: PhD degree in holo-omics

Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway. The Microbial Ecology and Meta-Omics (MEMO) Group, led by Prof. Phillip B. Pope.

• Showcased multi-omic integration in defense: “Rumen-Centric Assembly of the Cattle Holobiont”.
• Demonstrated teaching skills in trial lecture: “The origin, evolution and physiological role of hydrogenosomes in their protist hosts”.
• Received the degree: philosophiae doctor (ph.d.).

2018 - 2020: Master’s degree 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 as well as parallel optimization of linear time algorithms.

2015 - 2018: Bachelor’s degree in Biology

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

• More than one year full time equivalents in bioinformatics courses (at BiRC).
• Tutor for new students, years 2016 and 2018.
• Exchange, 6 months at Manipal University (MAHE), Karnataka, India 2018.
• Completed Bachelor project: “Copy Number Variation of Ampliconic Regions on Hominid X and Y chromosomes”

Employments

June 2023 - July 2025: Bioinformatics Consultant (part time)

Kobelomics Enk., Ås, Norway & Kobelomics PMV, Odder, Denmark

• Consultation on bioinformatic genomic clinical analysis of multi-resistant microbial pathogens.
• Understanding client needs and translating intuitive ideas into concrete tasks.
• Development of bespoke bioinformatic pipelines.
• Teaching and scientific communication at Aarhus University Hospital.

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. Phillip B. Pope.

• Researching fundamental questions in host-microbe interactions.
• Integration of multi-omic data using dimensionality reduction and correlation network analysis.
• Conference talks and outreach:
  • Poster: International Society for Microbial Ecology (ISME), Lausanne, Switzerland, 2022.
  • 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.
• Visiting researcher with international collaborations: (Hosted by)
  • Australian Centre for Ecogenomics, University of Queensland, Australia. (Prof. Phil Hugenholtz)
  • Centre for Microbial Research, Queensland University of Technology, Australia. (Prof. Gene Tyson)
  • Livestock, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. (Prof. Stuart Denman)
  • Center for Evolutionary Hologenomics, University of Copenhagen, Denmark. (Morten T. Limborg)
• Software conceptualization, engineering, packaging, documentation, containerization and distribution.
• Interpersonal skills and collaboration.

July 2020 - July 2021: Lead Bioinformatician

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

• Complete design and development of pipeline for genome assembly and phylogenetic analysis for governmental large scale sequencing of SARS-CoV-2.
• Hiring and managing student employees.
• Configuration and integration of computational hardware.
• Consulting clinicians in interpreting molecular infection tracking of pathogens.
• Teaching and communicating across a diverse field of professionals.

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: To obtain true multi-omic integration.
• Programming languages, sorted by descending fluency: Python, R, Bash, C, Java.
• Parallelization of big-data workflows using Snakemake.
• Cryptographic handling of sensitive data.
• Hardware/software/network/user integration and design of workstations for bioinformatic needs running GNU/Linux.
• Packaging and containerization using Conda, Docker, Apptainer.