About Lumilinks & The Science
Lumilinks is a Cambridge-based, science business with a background in Mathematics and Physics. Our work is primarily based on the scientific field of Complexity Theory with a specialism in Network Science, predictive analytics, and Casual Inference.
We worry about the science so that you can focus on keeping your business performance at it’s best.
The Science Team
While a lot of organisations in the data space focus on running off-the-shelf A.I. models, we don’t. Our team combines different scientific disciplines, including statistics, physics, behavioural and computer science to enable us to tackle those “hard to solve” problems.
The science team at Lumilinks is led by Dr. Tim Drye, a renowned statistician, and data scientist. Having previously worked in the Cavendish Laboratory as part of Cambridge University, Tim leads Lumilinks’ drive to build transformative industry-leading applications. He also enables organisations and industries to gain valuable insight. A former Data-IQ Data Scientist of the year and advisor to the UK’s Office for National Statistics (ONS) and other governing bodies, Tim fuels the blue-sky initiates with our customers.
Our Culture of Learning
We are a passionate team of individuals who love to solve problems. While our team might be experts in data science, Lumilinks also has a number of sub specialisations that allow us to maximise value beyond using out of the box models and techniques.
Casual Inference: Understanding why something has happened.
Many data models used in businesses today are concerned with prediction by using a given a set of input variables to calculate what the output will be. However, these models do not consider how to influence the output.
This is commonly referred to as cause and effect, but traditional approaches are not able to spot this.
Causal inference is concerned with understanding how variables are linked. By this, we mean which variables are affected by other variables in sequences known as causal chains.
Network Science: How people and objects move and interact with each other.
From the Internet, social networks, transport networks, and the interconnection of financial institutions, networks exist all around us. Network science is the study of how relationships between objects influence each other.
Using these approaches allows us to look critically at resources that influence an organisation to make evidence backed decisions.
Predictive Analytics: The next step after hindsight & insight.
Whilst hindsight and insight are important key factors, Predictive Analytics should be at the forefront of every business. It’s what enables data-led strategic decisions when it comes to your organisation’s future and performance.