Oxana Lundström. Data Scientist & Computational Biologist.
I have worked for various tech and science startups and as a researcher in academia. I have learned to combine the best of the two worlds. I bring startup engineering mindset to science and scientific rigor to data analysis for business.
I also enjoy sharing my passion for creating awesome things with code so I teach programming and data science and love mentoring aspiring engineers and analysts.
What I do
My current focus is computational biology applied to medical research. I'm in the final year of my PhD at Stockholm University and currently investigating the role of short tandem repeats (STRs) in colorectal cancer. Our goal is to identify cancer risk variations in STRs, which will then serve as additional information for patient risk stratification and therapy-response prediction.
Some of my previous projects and initiatives are described below: