Sam Genway

Sam is a data scientist with an academic research background in theoretical physics. He works with Tessella’s clients to develop mathematical and data-driven solutions to complex problems using expertise in a broad range of techniques across applied mathematics, statistics and machine learning. His work has spanned the areas of Life Sciences, Oil and Gas, and Manufacturing, on topics ranging from modelling and inference to predictive analytics and visualisation.

What data science can learn from office logistics

When I first heard that we needed to upsize from our current base in Stevenage, I imagined that picking out a new office would be somewhat like choosing a new laptop. Most of the work would be upfront, checking through a list of requirements – perhaps location, floor space, parking, cost, to name a few. […]

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