Håkon works on the optimisation problems behind hybrid projects: how wind, solar, and battery storage should be combined, and what that combination does to the business case. His focus is on making those trade-offs visible early, while a project can still change.

His background is in data science and optimisation. At Spacemaker, he started as a data scientist in 2017, building algorithms for site analysis and generative design. He then spent three years as a data scientist at Enode, working on demand-side flexibility: aggregating household energy devices into a resource that can be traded in electricity markets and used to help balance the grid.

As Senior Algorithm Engineer at Vind AI, Håkon leads the software for battery storage and hybrid assessment, including the algorithms that let developers evaluate co-located wind, solar, and battery projects as one system. He is Vind AI's subject matter expert in this area and writes about it for developers weighing hybrid investment decisions.