Summary
Eva Enevoldsen is a PhD student and software engineer with eight years of experience applying computational methods to real-world problems, currently researching mechanistic co-simulations of pests, weeds, and diseases to balance crop yield, biodiversity, and pesticide reduction. She combines deep technical chops in C++ and Python for computational geometry with full-stack experience (React, TypeScript, GraphQL) gained while shipping end-to-end tools at RD8 that bridge geometry engines to user-facing workflows. Comfortable working alongside mechanical engineers and having even interned in the discipline, she excels at translating domain expertise into practical automation and robust design software. An active community builder at DIKU, she pairs complex problem-solving with strong communication and leadership from organizing student initiatives. Outside academia and engineering she channels curiosity into art, Japanese study, and hands-on renovation, reflecting a pragmatic, creative approach to research and product development.
8 years of coding experience
4 years of employment as a software developer
Kandidatgrad, Datalogi, Kandidatgrad, Datalogi at Københavns Universitet - University of Copenhagen
STX: Matematik A, Bioteknologi A, Fysik A, STX: Matematik A, Bioteknologi A, Fysik A at Gammel Hellerup Gymnasium
Danish, English, Japanese