Sturla Molden
Veterinary Inspector at Private vet practice
Trondheim Region Norway
Summary
🤩
Rockstar🎓
Top SchoolSturla Molden is an experienced veterinary inspector and clinician with 16 years bridging frontline animal care and public health regulation across Norway. Trained as a veterinarian with a PhD in Neuroscience and a strong foundation in zoology and natural sciences, he combines rigorous research experience with practical surgical and inspection roles at Mattilsynet and private practice. He has a background in lab research at the University of Oslo and NTNU, giving him a rare blend of field, clinical and scientific perspectives useful for evidence-based surveillance and policy enforcement. Unusually for a veterinarian, he has contributed performance-focused code to the widely used SciPy project, optimizing cKDTree distance calculations—demonstrating a knack for computational problem-solving beyond his core discipline. Colleagues value his analytical rigor, cross-disciplinary fluency and consistent focus on animal welfare and public safety.
16 years of coding experience
13 years of employment as a software developer
cand. med. vet., Veterinary Medicine, cand. med. vet., Veterinary Medicine at Norwegian School of Veterinary Science (NVH)Norwegian University of Science and Technology
Stackoverflow
21reputation
1kreached
1answer
0questions
Github Skills (9)
scipy10
python10
performance-optimization10
scientific-computing10
cython10
cprogramming-language9
c-language9
algorithms9
wxpython6
Programming languages (3)
Github contributions (5)
scipy/scipy
Jul 2012 - Jul 2020
SciPy library main repository
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:40 reviews, 71 commits, 22 PRs in 8 years 1 month
Contributions summary:Sturla primarily focused on improving the performance and fixing various issues within the ckdtree.pyx file of the SciPy library. Their contributions involved addressing Cython issues, optimizing code for speed, and preventing memory leaks. They also implemented prefetching and SIMD acceleration for Euclidean distances, further enhancing the cKDTree's efficiency.
scipypythonscientific-computing
sturlamolden/numpy
Jun 2020 - Jul 2024
The fundamental package for scientific computing with Python.
Contributions:14 pushes, 2 branches in 4 years 1 month
pythonndarrayscientific-computing-with-pythonscientific-computingreduction
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