Some of the commercial work I do is helping people to improve their presentations and add some design thinking. There are so many amazing things in science, and such great data, which can often be locked away. It's in the minds of these amazing practitioners, who can't necessarily express what they want in a visual way.

I remember researching a really complicated article and having trouble keeping track of all the different perspectives. I ended up drawing a diagram to help myself follow how the ideas were interrelated. I looked at the diagram when I had finished and thought, "Oh, maybe I don't need to write the article now - maybe I've done my job as a journalist. I can convey my understanding through the diagram."

Simplification seems to be the removal of objects for the goal of making a graphic as clean and uncluttered as possible. Whereas, with optimization, it feels like there's more intelligence in that. It maintains the usability, but tries to distill something down to its essence. But with some data-sets you have to be careful because, as with linear, print journalism, it's easy to shave off facts that don't quite fit the flow.

What I tend to do is blend quantitative with the qualitative to allow me to plot the qualitative data in some way. It's a question of what quantitative data are most applicable. So I'm playing with that, merging the two.

Sometimes the data has a sense of a structure within it, especially if I'm looking at networks or relationships, which generally lend themselves to a certain style.

I'm happy to provide that service. But that's the power of it. A good infographic that's been really worked on looks simple and easy, but it actually required a lot of processing.

I think everyone is struggling somewhat with presentation. The Internet is generally well designed, if you look at the most popular websites, so we expect our visuals to be at that level of quality. When you sit in a presentation and you're looking at nonsensical pie charts and the like, your audience does disengage. People across a range of industries, not just science, are struggling with their communication because their output doesn't compete with what people see on a day-to-day basis.