Wow...I'm in the final two! Thanks to everyone who has voted to get me here. I've now added a True or False game to the activities you can try down at the bottom of the page. Want a chance at me bringing these activities to you in person? ...then don't forget to vote for me as your winner!
Favourite Thing: Finding fun ways to explain complicated scientific concepts, for example, using strawberry pencils and dolly mixtures to make edible DNA models, and using Lego towers to explain how DNA sequences mutate and evolve.
University of Oxford (2010-2013); University of Reading (2006-2010); Highworth Grammar School for Girls, Ashford (1999-2006)
D.Phil. (Ph.D.) in Clinical Medicine; MSc. in Biometry; BSc. in Mathematics and Statistics; A levels in Maths, Biology, PE and General Studies
Laboratory technician in a school; lifeguard at various pools in Kent.
Research scientist in infectious disease dynamics
Department of Veterinary Medicine, University of Cambridge
Me and my work
I’m a disease detective – I use genetics to track the spread of infectious diseases including norovirus, hepatitis C and HIV.
Unlike some of the other scientists in this zone, I don’t work in a ‘lab’ – though I have lots of colleagues who do! I use genetic data from micro-organisms to understand how infectious diseases spread from one person to another. I mainly work with viruses, such as norovirus (the winter vomiting bug) and hepatitis C, but I also work on some bacteria too (including Campylobacter, which causes stomach bugs).
The protective outer layer of norovirus (left), and Campylobacter jejuni under the microscope (right).
When micro-organisms reproduce to be able to transmit and infect another person, they have to copy their genome (the instructions to build a new cell) – and quite often they make mistakes, just like we would do if we had to make a copy of a very long book! I use these mistakes, known as mutations, to track the order in which they must have jumped from person to person. This makes it sound easy, but genetic data is very big and complicated! Sequence data on the computer looks like this, where each row represents a sequence, and the sequence names are in the left column:
Can you find some mutations, where a column contains two or more different letters?
The different letters in the sequences stand for nucleotides in the DNA – adenine (A), cytosine (C), thymine (T) or guanine (G). The number of letters, known as bases, in the whole sequence depends on the organism. The norovirus genome (part of which is shown in the picture above) is 7,500 bases long, the Campylobacter genome is around 1,500,000 bases long, and we humans have a whopping 6 billion bases in most of our cells! That’s a lot of data that we can make use of – feel free to ask me about it!
My Typical Day
Reading, coding, analysing, experimenting, and writing.
I start the day by catching up on the latest science news over a cup of coffee. These might be articles published in academic journals, or from more informal sources, such as New Scientist (a science magazine), Daily Science, or recommendations from Twitter. Though I work in infectious disease, I like to keep up with what else is going on elsewhere. One of the cool things with science is how multi-disciplinary it is – methods and results from something that appears unrelated can also inspire my work. I work with people from over the UK, so I’ll also spend a bit of time emailing, Skyping or phoning them so everyone stays up to date with what’s going on.
My desk, all set up for a morning of reading.
The rest of the day varies according to what I’m working on, and where I am in a project. Near the start of a project, I’ll spend a lot of time just getting the feel for my data – I’ve only recently started working on HIV, so I’ve done a lot of background reading on what we already know about the virus and how it transmits, so I can make sure I model it as close to real life as possible (and not repeat what others have done unnecessarily!). I then write computer programs to help analyse my data – it’d take me forever to do it all by hand! I look at my data in many ways, but often it involves comparing the number of mutations between sequences to draw trees like the one for norovirus strains below (think of it like a family tree, where the shorter the line joining two names, the more related they are). I also run simulations, to see how data would look if it had been obtained from certain situations. This allows me to compare my models with real life, and test how well I’m doing. It’s often quite a challenge to summarise lots of sequence data, so near to the end of a project I spend a lot of time thinking about how best I can show my results clearly, and then writing everything up to publish so that other scientists can make use of my work.
The major strains of norovirus (named as location and year first discovered) – can you see how those closely related are not necessarily closest in age?
A lot of my data comes from hospitals, so I also regularly present my work back to the doctors and nurses, so that they are kept up to date and can use the information to help their patients. For example, if lots of patients had samples sequenced for norovirus, I could say whether they were related or not. If they’re not related, then we know it’s just coincidence, and just to be on the look out for further cases. However, if they are related, we might be able to identify how (shared toilet? in the same ward?) and then put measures in place to help prevent further spread (cleaning? close the ward?).
What I'd do with the money
Create a ‘Learning is Infectious: Pass it on’ kit, to take my research into schools.
I’ll let you in on a secret: there are more microbes on and in our bodies, than there are human cells! If I won, I would like to develop a big box of tricks that I can take into schools and open up the exciting, invisible world of microorganisms and DNA. Some of the items I’d like to put in my Learning is Infectious: Pass it on kit include:
- Giant plushie microorganisms (see http://www.giantmicrobes.com/uk/).
- A microscope to compare the fluffy microbes to real ones!
- A version of Top Trumps for different germs.
- Strawberry pencils and dolly mixtures for making edible DNA structures.
- Lots of Lego, for building colourful DNA sequences and talking about how we might use these to track transmission.
- Lab equipment such as Petri dishes, so that students can grow their own microbes.
- The materials so students can do a DNA extraction.
- A rubber chicken and UV gel to demonstrate the importance of handwashing in the spread of disease.
- …and whatever other exciting stuff I can think of!
Using Lego ‘sequences’ to track the spread of a tuberculosis outbreak.
How would you describe yourself in 3 words?
Bookworm ~ Water-baby ~ Smiley
Who is your favourite singer or band?
What's your favourite food?
My Mum’s macaroni cheese.
What is the most fun thing you've done?
Being in an advert for Tetley tea – we got the full film set experience.
What did you want to be after you left school?
Were you ever in trouble in at school?
Not that I can remember.
What was your favourite subject at school?
Maths, closely followed by biology, PE and art.
What's the best thing you've done as a scientist?
Travelling and sharing my work with other scientists from around the world.
What or who inspired you to become a scientist?
I was curious about the world around me and how things worked from a young age (I built a burglar alarm, aged 7!), and I had some great teachers that taught me that it is okay to question and experiment.
If you weren't a scientist, what would you be?
Something creative…I love making jewellery in my spare time.
If you had 3 wishes for yourself what would they be? - be honest!
The ability to apparate, so I could visit all my favourite people more easily; a device that would allow me to jump into my favourite books and memories and (re-)live them; and a medical breakthrough with regards to the next generation of antibiotics.
Tell us a joke.
Why do the Daleks eat apples? Because an apple a day keeps the Doctor away! And for you devoted Whovians: What happens when The Doctor goes back in time and sees himself? It’s a pair-a-docs!