Tired of blockchain, quant jobs or sports betting gigs? If yes, how about using your Python skills to better the entire society?
Since the sequencing of the human genome, which was a monumental achievement in human history, the amount of data related to genetics and related fields has been growing at a very fast pace. So fast, indeed, that computers are barely keeping up and humans surely are not. Sheer volume and speed of data generation have caused a vacuum in knowledge and number of people that can handle processing and understanding this data.
In my talk, I would like to introduce work done by an average/mean bioinformatician and talk about how Python has become a major player enabling us to tackle problems in biology, genetics, pharmacology and medicine.
We will be digging into some prominent cases where bioinformatics played a visible role in solving interesting world problems. We’ll look at the ebola outbreaks, at estimating animal population sizes, at the zika virus and more. I hope I can inspire the audience and perhaps encourage some to think of bioinformatics as a viable career option.
Roman set out to become a veterinarian, has diverged to biology where he studies animals in silico. He is now working as a bioinformatician at Genialis. His first love is and will always be R (maybe). In his spare time, he does 18:6 intermittent fasting, but you can also talk to him about cats or competition shooting.