Henrikki Mertaniemi
Head Of Pilot Technologies at KCL
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolHenrikki Mertaniemi is an R&D and pilot-process leader with 11 years of experience translating lab-scale cellulose and bio-based materials research into industrial pilot operations. As Head of Pilot Technologies at KCL he oversees process development, scale-up and pilot-scale processing, drawing on a PhD-level background in engineering physics from Aalto University. He has steered product and application development for nanocellulose in medical and pharmaceutical contexts and led instrumentation, automation and data-driven experimentation across lab, pilot and industrial environments. An active educator and open-source contributor, Henrikki has supported the popular Geo-Python course and extended the widely used OSMnx library to better handle OpenStreetMap POI data, bridging geospatial tooling with material science workflows. Based in Helsinki, he combines hands-on experimental skills with project management and technical writing, often surfacing practical improvements that make research reproducible and teachable. Colleagues rely on him for pragmatic scale-up strategy that preserves scientific rigor while accelerating commercialization.
11 years of coding experience
15 years of employment as a software developer
Doctor of Science in Technology Engineering Physics, Doctor of Science in Technology Engineering Physics at Aalto UniversityHigh School, High School at Keuruun lukio
Finnish, English, German, Swedish, Russian, French
Stackoverflow
196reputation
2kreached
1answer
0questions
Github Skills (16)
openstreetmap10
rmarkdown10
markdown10
geopandas10
markdown-it10
gis10
geospatial10
python10
spatial-data10
documentation10
sphinx9
networkx9
url-routing8
ed255198
ogr6
Programming languages (7)
Github contributions (5)
geo-python/site
Sep 2018 - Aug 2020
Role in this project:
Technical Writer
Technical WriterContributions:1 release, 95 commits, 21 PRs in 2 years
Contributions summary:Henrikki primarily contributed to the documentation of the Geo-Python course materials. Their work included adding links to exercise assignments and video lectures, updating installation instructions for Anaconda, and modifying lesson overviews. The commits focused on clarifying course content, improving navigation, and refining the presentation of the materials, indicating a focus on enhancing the learning experience for students.
pythongeographygeologygeopython-course
gboeing/osmnx
Dec 2017 - May 2018
Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Role in this project:Back-end Developer
Back-end DeveloperContributions:41 commits, 2 PRs, 15 comments in 4 months
Contributions summary:Henrikki's primary contribution focused on extending the functionality of the `osmnx` library. They implemented features to download and process Points of Interest (POIs) from OpenStreetMap, developing new functions for parsing and handling different POI data types (nodes, ways, and relations). The user also added a convenience function for parsing bounding box coordinates, demonstrating an understanding of the library's data processing pipeline and its integration with OpenStreetMap data. Furthermore, they refined the code with docstring updates and code corrections.
nominatimpythonspatialvisualizemap-matching
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