I am a PhD student at the University of Tartu in the field of Bioinformatics. I have a background in Computer Science. My major focus is the computational immunology, however I have also participated in a number of other Bioinformatics related projects: immunoprofiling of Alzheimer’s patients, building predictive models for patients with Psoriasis, Brain Computer Interface related projects etc. In other words, I am applying Machine Learning and Data Mining to biological data using R and Python. I have experience in teaching various courses at the university level. Recently, I became a certified trainer in Data and Software Carpentry organisations that aim to provide data analytical training to scientists around the world.
Topic: Machine Learning in Bioinformatics
Short Description: Bioinformatics is a science of extracting knowledge from biological data, сomplexity and amount of which, has increased significantly over the past decades. To meet the challenges ahead, more sophisticated algorithms and assets should be adopted. Thus, Machine Learning has become an everyday tool in Bioinformatics, that helps to solve important biological riddles. In this report, I will discuss examples of how using well-known Machine Learning methods, bioinformaticians and computer scientists help doctors and biologists diagnose and treat deadly diseases.