CV

Summary

Senior Scientific Software Engineer at A2-Ai. PhD in Veterinary Epidemiology from the University of Copenhagen. Over a decade of experience spanning data science, academic research, teaching, and software development. Core maintainer of extendr and active open-source contributor in the Rust ecosystem.

Highlights

  • Build tooling and infrastructure for R and Rust projects that need to be fast, understandable, and shippable
  • Translate between research questions, statistical models, and maintainable software systems
  • Teach and communicate across mixed audiences of researchers, developers, and students

Experience

Senior Scientific Software Engineer

A2-Ai · 2025 – Present
  • Build scientific software and technical workflows in domains where modelling, data, and product constraints meet
  • Work across implementation, design, and collaboration boundaries to turn prototype code into maintainable systems

Postdoctoral Researcher

University of Copenhagen · 2024 – 2025
  • Specialised in computational modelling of disease spread, surveillance, and control in an economic context
  • Developed modelling software and R packages for applied epidemiological research

External Lecturer

DIS Study Abroad, Copenhagen · Spring 2025
  • Taught "Artificial Neural Networks and Deep Learning"

Research Assistant

University of Copenhagen · 2021 – 2022
  • Worked on the NordForsk-funded DigiVet project on facilitating registry data between authorities, stakeholders, and citizens
  • Coordinated data requirements across multiple stakeholders and improved data quality in research workflows

Lecturer / Researcher

Applied Science University of Amsterdam · 2018 – 2019
  • Conducted research in the Live Game Design project in collaboration with Knowingo+
  • Modelled player experience using statistical methods and visualisation

Student Developer

Inference Labs · 2016 – 2017
  • Developed a serious game in Unity3D and C# for teaching the PRINCE2 project-management methodology

Data Scientist

SHFT ApS · 2015 – 2016
  • Transformed inertial motion sensor data into KPIs describing running technique
  • Worked with MATLAB, signal processing, sensor fusion, visualisation, and C# / Xamarin

Teaching Assistant

University of Copenhagen · 2011 – 2018
  • Taught across databases and web programming, programming and problem solving, data mining, statistics, numerical analysis, and modelling
  • Supported both undergraduate and graduate teaching, including theoretical statistics

Participant, Kod i Ferien

Danish Agency for Digitisation · 2011 – 2012
  • Planned and implemented a web-backend product using Django and NemHandel
  • Worked with open-government initiatives through digitaliser.dk

Student Worker

Danish Science Factory · 2010 – 2013
  • Planned and executed meetings, conferences, and related events
  • Handled database entry and administrative support tasks

Sales Assistant

Netto / Dansk Supermarked · 2010

Education

PhD in Veterinary Epidemiology

University of Copenhagen · 2019 – 2024
  • Modelled the spread of African Swine Fever between wild boar and domestic pigs
  • Worked on simulator-based inference, ordinary differential equations, and wildlife-livestock interface problems
  • Relevant coursework included epidemiology, spatial data analysis, network analysis, and targeted maximum likelihood estimation

MSc in Statistics

University of Copenhagen · 2016 – 2018

BSc in Mathematics

University of Copenhagen · 2013 – 2015

Statistics as study major.

BSc in Science and IT

University of Copenhagen · 2010 – 2013

Specialisation in computational physics.

Skills

RRustGit & GitHub ActionsMATLABPythonPyTorchC#C / C++BashStatistical modellingScientific computingTechnical teaching

Online Learning

  • Completed 110 DataCamp courses, 9 tracks, and 37 projects across R, SQL, machine learning, and statistics — portfolio
  • Completed the Exercism Rust track with 83 problems and iterative review-driven refinement — profile

Publications

  • Modelling PRRS transmission between pig herds in Denmark and prediction of interventions impact (2025) — doi:10.1016/j.prevetmed.2025.106692
  • Choice of landscape discretisation method affects the inferred rate of spread in wildlife disease spread models (2025) — doi:10.1016/j.jtbi.2024.111963
  • Assessing the Spatial and Temporal Risk of HPAIV Transmission to Danish Cattle via Wild Birds (2025) — arXiv:2504.12432
  • extendr: Frictionless bindings for R and Rust (2024) — doi:10.21105/joss.06394
  • Social network analysis reveals the failure of between-farm movement restrictions to reduce Salmonella transmission (2024) — doi:10.3168/jds.2023-24554
  • Using registry data to identify individual dairy cows with abnormal patterns in routinely recorded somatic cell counts (2024) — doi:10.1016/j.jtbi.2023.111718

Conferences

  • Senior oral presentation at GeoVet2023, the International Conference of Spatial Epidemiology, Geostatistics, and GIS applied to animal health, public health, and food safety
  • Talk at ISVEE16, the 16th International Symposium of Veterinary Epidemiology and Economics (2022)
  • Talk at ModAH2, Modelling in Animal Health (2021)

External Roles

  • Review Editor for Frontiers, Editorial Board of Veterinary Epidemiology and Economics, Frontiers in Veterinary Science
  • Maintainer in the extendr open-source ecosystem for R and Rust interoperability

Awards

  • Member of the winning team at Aarhus' COVID-19 Datathon (2021), a weekend-long data-analysis challenge hosted jointly by MIT, Imperial College London, and Aarhus University

Personal

  • Married to Clara Merhi Reimert and father of two
  • Avid collector of custom mechanical keyboards

Links