Lowe Lundin
Principal at PathNav
Sweden
Summary
👤
Senior🎓
Top SchoolLowe Lundin is a Principal focused on AI safety and investment consulting with eight years of experience applying machine learning and risk engineering across finance, healthcare, and infrastructure. He has built production ML and risk systems at Nasdaq and a major private equity/VC firm, and led projects ranging from MRI segmentation to real-time pricing and data-center power optimisation. Currently at PathNav and previously an AI safety grantmaker and strategist, he blends technical depth with strategic evaluation of AI risks and opportunities for investors and foundations. A co-founder of a nonprofit leadership academy and a public pledge donor to effective charities, he pairs mission-driven decision-making with rigorous quantitative judgement. Based in Sweden with an Engineering Physics background, he’s equally likely to discuss behavioural economics or training for the Swedish Classic Circuit as he is to model firm-level uncertainty with limited data.
8 years of coding experience
5 years of employment as a software developer
Engineering Physics - Scientific Computing, Engineering Physics - Scientific Computing at Uppsala University
Swedish, English, Spanish
Github Skills (12)
galaxy10
approximation10
pthreads10
cosmology9
orbital-mechanics9
simulations9
simulation9
science7
python7
machine-learning7
pandas6
data-science6
Programming languages (2)
Github contributions (5)
LoweLundin/Optimised-Galaxy-Simulations
Feb 2020 - May 2022
Simulations of star movements in galaxy clusters based on Newton's law of universal gravitation. Optimised using the Barnes-Hut approximation algorithm and parallelised with pthreads.
Contributions:143 commits, 3 PRs, 70 pushes in 2 years 2 months
lawmovementsclusterspthreadssimulations
LoweLundin/Pricing-of-Barrier-Option-Monte-Carlo
Mar 2020 - Aug 2021
Contributions:14 pushes, 1 branch in 1 year 5 months
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