I come from an interdisciplinary background: I hold Bachelor’s degrees in Gene Technology and Psychology from two Estonian universities, and I recently graduated with distinction from a taught Masters programme in Psychological Research at the University of Edinburgh. During my Masters, I took half of my courses from the Statistics with Data Science MSc programme and worked on a challenging functional Magnetic Resonance Imaging (fMRI) project. After completing my Masters, I worked for a year as a Research Assistant at the University of Edinburgh, supporting all aspects of new cognitive fMRI studies, such as statistical programming and participant screening. During this time, I put together a data processing pipeline that was used by PhD students and researchers (https://github.com/tammandres/ppls-fmri-pipelines) and successfully liaised with principal investigators, postgraduate students and other research staff. My academic interests are broad: I am curious about using Gaussian processes and neural networks on multi-modal health time series, modelling gene regulatory networks, applying data science to mental health research, and using anatomical and functional brain images for developing biomarkers. I am currently in the process of narrowing this down! On a personal side, I enjoy practicing yoga and free form dancing.