I was recently awarded the EIT Health Translational Fellowship, which aims to fund DPhil projects with the goal of commercializing the research and addressing the funding gap between research and seed funding. In order to win, I had to deliver a short 5 minute startup pitch in front of a panel of investors and scientific experts to convince them that my DPhil project has impact as well as commercial viability. Besides the £5000 price, the fellowship included a week-long training course on how to improve your pitch, address pain points in your business strategy etc. I found the whole experience to be incredibly rewarding and the skills I picked up very important, even as a researcher. As a summary, this is why I think you should care about the startup world as a researcher.
Continue readingChat bots and the Turing test
When I recently tested out the voice activation features on my phone, I was extremely impressed with how well it understood not only the actual words I was saying, but also the context. The last time I used voice control features was years ago when the technology was still in its infancy. There was only a specific set of commands the voice recognition software understood and most of them were hard-coded. Given the impressive advances we have made utilizing machine learning for voice recognition and natural language processing to the point where I can tell my phone: “Hey Google, can you give me a list of the best BBQ restaurants near me?” and it will actually understand and do it, it is interesting that we still struggle with a language based technology that has been around for ages: chatbots.
Continue readingSome more Python tips and tricks
There are a few useful but often underutilised Python 3 syntactic tricks that I have picked up over the last few years; I have chosen to continue in the spirit of Mark and share them here.
Continue readingA new way of eating too much
Fresh off the pages of Therapeutic Advances in Endocrinology and Metabolism comes a warning no self-respecting sweet tooth should ignore.
“Liquorice is not just a candy,” write a team of ten from Chicago. “Life-threatening complications can occur with excess use.” Hold on to your teabags. Liquorice – the Marmite of sweets – is about to become a lot more sinister.
Continue readingA Month in Basel – Summer 2019
I had an opportunity to visit Basel, Switzerland for a month between mid-July to mid-August. The first week began with the ISMB/ECCB Conference 2019, which was a 5 days event. The average temperature was 35 °C with a hottest day reaching up to 39 °C, which was rather too hot compared to a British weather. This weather was perfect to try out ‘floating’ in the Rhine river, which I missed the opportunity to, but would highly recommend it if anyone is visiting Basel in the future.
Read moreBringing practical bioinformatics to high school classrooms
Back in July a litter of OPIGlets went rooting for interesting science at ISMB/ECCB 2019 in Basel, Switzerland. When not presenting, working on my sunburn, or paying nine Francs for a beer, I made a point to attend talks outside my usual bubble of machine learning and drug discovery. In particular, I spent the latter half of the conference in the Education track, and am very glad I did. I love teaching, and am always excited to learn from more experienced educators and trainers. Today I’m going to talk about a fantastic presentation by Stevie Bain from the University of Edinburgh about introducing practical bioinformatics to high school biology classrooms through the 4273pi project.
Continue readingWhen OPIGlets leave the office
Hi everyone,
My blogpost this time around is a list of conferences popular with OPIGlets. You are highly likely to see at least one of us attending or presenting at these meetings! I’ve tried to make it as exhaustive as possible (with thanks to Fergus Imrie!), listing conferences in upcoming chronological order.
(Most descriptions are slightly modified snippets taken from the official websites.)
Three things to help you get started on Bayesian Optimisation
In this blog post I will share with you the materials that I found most useful when I started doing some Bayesian Optimisation in my research. Bear in mind, I am a Chemist by training, so I approached this topic from a non-mathematical background (my eyes have to be persuaded to look at mathematical equations). Out of all the materials I have come across, I found these to be the most accessible.
Continue readingOpenMM – easy to learn, highly flexible molecular dynamics in Python
When I came to OPIG this past March I realized I had a novel opportunity – there was no one to tell me which molecular dynamics (MD) program I had to use! Usually, researchers do not have much choice in the matter due to a number of practical concerns. Conflicts between input and output file formats, forces, velocities, and basically everything else between MD suites make having multiple programs flying around tenuous at best if you want group members to be able to help one another. After weighing my options, I settled on OpenMM – and so far I am very happy with the decision.
Learning dynamical information from static protein and sequencing data
I would like to advertise the research from Pearce et al. (https://doi.org/10.1101/401067) whose talk I attended at ISMB 2019. The talk was titled ‘Learning dynamical information from static protein and sequencing data’. I got interested in it as my field of research is structural biology which deals with dynamics systems, e.g. proteins, but data is often static, e.g. structures from X-ray crystallography. They presented a general protocol to infer transition rates between states in a dynamical system that can be represented with an energy landscape.
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