CV

PhD in Veterinary Epidemiology

• 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

BSc in Mathematics

Statistics as study major.

BSc in Science and IT

Specialisation in computational physics.

Senior Scientific Software Engineer

• 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

• 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

• Taught “Artificial Neural Networks and Deep Learning”

Research Assistant

• 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

• Conducted research in the Live Game Design project in collaboration with Knowingo+
• Modelled player experience using statistical methods and visualisation

Student Developer

• Developed a serious game in Unity3D and C# for teaching the PRINCE2 project-management methodology

Data Scientist

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

Teaching Assistant

• Held TA roles across a seven-year span (2011–2018), totalling roughly two years of cumulative teaching alongside studies and other work
• 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

• Participated twice in Kod i Ferien, a Danish programme comparable to Google Summer of Code
• Planned and implemented a web-backend product using Django and NemHandel
• Worked with open-government initiatives through digitaliser.dk

Student Worker

• Planned and executed meetings, conferences, and related events
• Handled database entry and administrative support tasks

Sales Assistant

extendr

Frictionless bindings between R and Rust. Core maintainer of the project and the wider tooling around the R-Rust bridge. Published in JOSS (doi:10.21105/joss.06394) and supported by an R Consortium ISC grant for modern OOP tooling.

miniextendr

A Rust-R interoperability framework for building R packages with Rust backends. Includes ExternalPtr wrappers, ALTREP support, and CRAN-ready packaging.

hexscape

Spatial discretisation and anonymisation in R using CORINE land cover data. Companion to the submitted Preventive Veterinary Medicine manuscript.

External Lecturer, Artificial Neural Networks and Deep Learning

• Designed and delivered an upper-division course on artificial neural networks and deep learning for visiting international students
• Covered foundations through modern architectures, with hands-on implementation work alongside the theoretical material

Teaching Assistant

Taught and supported a broad range of undergraduate and graduate courses in the Department of Mathematical Sciences and the Department of Computer Science, including:

• Databases and web programming
• Programming and problem solving
• Data mining
• Statistics 1 and 2 (theoretical statistics)
• Numerical analysis
• Modelling in science

Responsibilities spanned exercise sessions, problem-set design, grading, and one-on-one student support. Roughly two years of cumulative TA work spread across a seven-year span (2011–2018), held alongside studies and other roles.

Typst Meetup Berlin 2026

Attended.

Cascadia R Conf 2025

Co-authored workshop material with Josiah Parry for two workshops: “Intro to Rust for R Developers” and “Building Rust based R Packages” using extendr.

Scientific Computing in Rust 2024

Talk: “extendr: Frictionless bindings for R and Rust.” Live and online presentation (10 min). Hosted by organisers from University College London (UK) and University of Colorado Boulder (USA).

GeoVet 2023

Senior oral presentation (20 min + 5 min discussion): “Choice of Landscape Discretisation Affects the Rate of Spread in Wildlife Disease Models.” International Conference of Spatial Epidemiology, Geostatistics and GIS applied to animal health, public health, and food safety.

ISVEE 16

Oral presentation: “An ecological process-based model of wild boar.” 16th International Symposium of Veterinary Epidemiology and Economics.

ModAH 2021

Talk: “Influence of ecological processes within disease models.” Live presentation (webinar). Modelling in Animal Health conference.

Det 41. symposium i anvendt statistik

Attended. statistiksymposium.dk

SAFJR 2019

Attended.

MSc in Statistics (2016–2018)

BSc in Mathematics (2013–2015)

BSc in Science & IT (2010–2013)