Cyril Verluise

I am a senior data scientist at QuantumBlack. I build and ship tech products to the industry.

At QuantumBlack, I spearhead the technical and product development as well as the deployment of energy system optimisation solutions. My work has led to a patent filing (pending, US-20240077895-A1). I have also contributed to power grid and power generating device optimisation work. Beyond the energy sector, I played a leading role in the development of an earth observation platform.

Before that, I did a PhD in Economics. I leveraged data science and natural language processing to unpack the innovation diffusion black box - one commit at a time. My work has been published in top-tier journals, cited in prestigious media outlets including The Economist, and my open-source projects have garnered 160+ stars on GitHub and 15k+ downloads overall. I am thankful to Collège de France, Paris School of Economics, EPFL and Google Cloud for their financial support.

Before and during my PhD, I worked as a data scientist, mainly as a contractor. I worked at Kayrros, a French scale-up bringing transparency to the energy sector. I also contributed to IPwe, a start-up on a mission to make the Intellectual Property market more efficient using Blockchain and Artificial Intelligence in partnership with IBM. Finally, I served at CarbonFact, a YC-backed start-up dedicated to automated carbon accounting of fashion items.

In my early academic life, I graduated in Management from HEC Paris, in Data Science from ENSAE and in Economics from Ecole Polytechnique. I also completed B.A.s in Applied Mathematics, Economics and Politics at Université Paris I Pantheon-Sorbonne.