Martin Hansen is a Lead Data Specialist with nine years of experience applying machine learning, time-series analysis, and cloud-enabled data engineering to materials and chemistry problems. He holds a PhD in physics from DTU and has translated atomic-scale catalysis research at Stanford's SUNCAT into production workflows at Topsoe, bridging quantum chemical calculations and scalable data infrastructure. As a founder and Y Combinator alum, he has built autonomous robotic experimentation and multi-objective Bayesian optimization systems for battery and power-to-X research. Technically fluent in Python, SQL, Linux, Bash and cloud tooling, he also brings hands-on experience with cheminformatics, statistical physics and high-performance computing. He has scaled small scientific coding teams into production-ready software groups and routinely connects deep domain expertise with pragmatic engineering. An uncommon strength is his track record of turning atomic-scale simulation methods into deployable active-learning pipelines that drive experimental planning.
9 years of coding experience
6 years of employment as a software developer
Founder Holy Grail summer batch, Founder Holy Grail summer batch at Y Combinator
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