Laurence Cullen is a founder and machine learning engineer with 12 years’ experience building high-performance simulation and ML systems, currently leading Vanellus to deliver GPU-accelerated, cloud-deployed electronics cooling simulations. He pairs hands-on HPC and Python expertise with production ML experience from roles at Arm, Sensity, and contract work—shipping everything from BERT fine-tuning to FastAPI model deployments. Laurence’s work focuses on making fluid simulations up to 1000x more efficient, translating academic papers into practical, scalable software for engineers. Based in Cambridge, he brings a rare mix of domain knowledge in physics/astrophysics, low-level performance profiling, and product-focused entrepreneurship that accelerates adoption of complex simulation tools.
12 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Physics with Astrophysics, Bachelor’s Degree Physics with Astrophysics at University of Exeter
Convert guitar tabs and MIDI files into Dulcimer strings
Contributions:10 PRs, 32 pushes, 1 branch in 3 years 2 months
stringsmidiguitarguitar-tabsaudio
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