Dr. Attila Trunk

- Designed experimental protocols for investigating proactive action planning in the brain - Backpropagation of lessons learned along the data solution lifecycle to improve data quality and analytical results. - Identified proactive action planning biomarkers in the brain using machine learning approach (e.g. Random forest, PCA, sklearn) - Performed multi camera calibration and 3D reconstruction of movement tracking in Matlab. - Prepared project deliverables (\url{http://plan4act-project.eu}).

- Collaborated with a major Hungarian pharmaceutical company, performed preclinical research as part of a contract research organization. - Performed statistical analysis in R, SPSS and Statistica. - Collected and analysed large amount of high dimensional EEG datasets for in-vivo preclinical studies using Matlab and Python programming environment. - Prepared project deliverables as well as publications for peer-reviewed scientific journals. - Supervised undergraduate students.