Dan Cornford

Dan Cornford

Managing Director​

Role​

I joined IGI in 2011, having previously worked in academia as a researcher and lecturer for almost 20 years. My role in IGI has evolved from having a focus on our software products, to a more general management role. I see management as a service, and still find time to work with the software team on our tools, and with our consultancy team and clients around using the tools, especially statistical analysis and machine learning.​

Vision​

I am a scientist. And a pragmatic Bayesian. We have models, and we have data. The world can only make sense combining them, accounting for uncertainty. In IGI we are trying to build the best tools for managing, visualising, exploring and interpreting geoscientific data.

Expertise​

My expertise runs across probabilistic modelling, including machine learning, visualisation and data exploration. I have also contributed to developments in data assimilation and inverse problems. In particular I work on managing uncertainty in environmental models, including coordinating the UncertWeb project and collaborating on the Managing Uncertainty in Complex Models project.​​

Outside work​

When not working, I like to spend time in my garden, or fishing (but not always catching) around the coast of North Devon where my family and I now live. From time to time my youngest ignites the latent twitcher in me and we’ll go bird watching.​
SmartBiosphere

Tom Bryden joins IGI

Dr Tom Bryden joined IGI in March 2025. Tom will enhance IGI's ability to use real-time sensor data especially in environmental monitoring...

pigi Metis

IGI release version 2.3 of p:IGI+ and Metis

Dear users, we’re delighted to announce version 2. 3 of both p:IGI+ and Metis is now available.  

The full release notes can be found here: Full-Release-Notes-2_3. pdf, here we summarise the highlights.

ML

Uncertainty and Variability in Geology

Another technical note in the Art of Science series by Dan Cornford of IGI Ltd. Uncertainty and variability are often confused. The former represents a state of our minds, the later a state of nature.

ML

The extinction of machine learning?

A short note by Dan Cornford on the place of machine learning in the geosciences, part of the Art of Science series of technical notes. Please click here to read the full technical note: 

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