About

A systems engineer with product instincts and a high tolerance for messy reality.

I tend to do my best work where sensing, software, simulation, and human use all overlap. The common thread is taking something technically difficult and making it clearer, more structured, and more useful.

Base

Copenhagen, Denmark

Looking for

Robotics software, simulation, sensing systems, evaluation, and applied research.

Experience

Research environments, startups, and shipped systems all fed the same skill set.

The settings changed. The pattern did not.

2025

PerPlant

Thermal sensing, CV data workflows, and robotics field tooling for precision agriculture.

2024-2026

Technical University of Denmark

M.Sc. Autonomous Systems, with thesis work in soft-finger actuation modeling.

2022-2023

Harvard Microrobotics

Robotics software and embedded systems in a startup-style lab environment.

2022

Raytheon Technologies

Automation and vision-guided manufacturing systems.

2019-2021

DEKA Research and Development

Controls, instrumentation, and data collection infrastructure.

Working style

Start from reality

I usually do best when the system is physical, the data is messy, and there are real users or operators somewhere in the loop.

Make data usable

A lot of my work has been about turning noisy sensing or field collection into something structured enough to trust and build on.

Keep interfaces honest

Whether it is a robot, a dataset, or a product surface, I care about making the behavior understandable instead of magical.

Earlier work

Teradyne capstone

Cartesian robotics, tool changing, load-cell feedback, and an IEEE-backed paper.

Technical archive

Earlier sensing and systems work, including heart-rate extraction from phone video.

Contact

Easiest to reach by email or LinkedIn.