About me

I am a technical co-founder and the chief product officer at Qlearsite. Using unique natural language processing capabilities we deliver shorter and smarter employee surveys to help companies build a better employee experience. In response to the COVID-19 pandemic we have launched a completely free organisational readiness survey for any company, worldwide. We used the same survey internally and quickly identified and understood pockets of our business that were less ready to work from home.

Before Qlearsite I was a PhD and PostDoc at the Machine Learning Group, University of Cambridge working with Zoubin Ghahramani. My research ultimately focused on the automation of statistical model construction and the rational allocation of computational resources when constructing predictive models. Versions of this automation underpin Qlearsite's products.

Before my PhD I was a management consultant at the Boston Consulting Group and before that I received a B.A. in mathematics and M.Phil in Statistics from the University of Cambridge.

Updates

Qlearsite launch a free organisational readiness survey in response to COVID-19.

In response to the COVID-19 pandemic we launched a completely free organisational readiness survey for any company, worldwide. We used the same survey internally and quickly identified and understood pockets of our business that were less ready to work from home.

Qlearsite have been recognised by Gartner as a cool vendor.

We are thrilled to have been recognised by Gartner for being innovative, impactful and intriguing. Read more on our website.

Beyond The Fence, a new musical

Alex Davies, myself and many others recently collaborated in the creation of the first show in the world conceived and substantially crafted by computer. Check out part of my hand in the Guardian article!

A neural algorithm of artistic style

An exploration of an algorithm that can merge the style of one image with the content of another (kinda).

Going places in the DeepDream

A video exploring the features learnt by a deep net.