Invenia Labs Employing ML For Large-scale Efficiency Problems, While Lowering Harmful Emissions

Rising Demand

According to the Intergovernmental Panel on Climate Change (IPCC), electrical production is responsible for approximately 37% of all global emissions today with the demand expected to increase by 43% over the next 20 years. So, it’s not surprising that statistics like these motivated one team of scientists and engineers to utilize ML to solve the real-world problems of today by founding Invenia Labs in 2016.

The co-founders of the Cambridge, UK-based startup are Matt Hudson, Christian Steinruecken, Oksana Koval, Cozmin Ududec, and David Duvenaud, respectively, who all bring their own unique attributes to an effort that is designing and running a system designed to solve large-scale efficiency problems, while also lowering harmful emissions.

Invenia Labs

Currently, the team is deploying the startup’s IP in ML techniques to optimize the electricity grid by refining the advanced planning of electricity production and production. This, in turn, will result in a drastic reduction of CO2 emissions and pollution, improved reliability of the electricity grid, less waste and increased economic efficiency.

“Our success is driven by our people, and in Cambridge we are able to attract the best talent in the world from the best universities across the country.”

 — Matt Hudson, CEO Invenia Labs

Invenia Labs manages to do all this with a combination of research in energy and complex systems, ML and finance.

With the technology and applications out of the way, let’s take a quick look at Invenia Labs’ five-person founding team.

First to mention is Matt Hudson, the CEO from the start. He began Invenia while at Microsoft, after majoring in Political Science and Economics with additional studies in Computer Science and Engineering. During his career, he has developed a deep knowledge of the electrical grid, complex networks and ML.

Invenia Labs’ CTO is Christian Steinruecken, who completed his Ph.D. under the supervision of Prof Sir David MacKay at the University of Cambridge (UK) and is a specialist in ML. He has led engineering projects in AI, data compression, and probabilistic programming.

The nicely titled Chief People Operations Officer is filled by Oksana Koval. She oversees operations in Canada and the UK and attended the University of Manitoba where she studied Anthropology as a post-graduate.

Cozmin Ududec is the startup’s Managing Director and Chief Science Officer in Cambridge. He received his Ph.D. in the Foundations of Quantum Theory from the University of Waterloo.

Finally, we have David Duvenaud, Scientific Advisor at Invenia Labs. An Assistant Professor in Computer Science and Statistics at the University of Toronto, he received his Ph.D. in ML from Cambridge University. Before Invenia, Duvenaud also worked at Google Research, the Max Planck Institute for Intelligent Systems and the Harvard Intelligent Probabilistic Systems group.

Unwavering that its energy intelligence software will change the world for the better by taking advantage of ML to optimize the electricity grid, Invenia Labs and its forecasting systems could be one to watch out for closely in the future.