Evangelos Kanoulas

Highly motivated statistician with a passion for handling, analysing, and reporting data. Skilled in developing algorithms and performing well under pressure. Efficient at applying skills across different fields and rapidly gaining new expertise.

• Developed and led statistical training for non-statisticians.
• Contributed to end-to-end statistical analysis from design & conducting the analysis to reporting, visualising, and presenting the results.
• Specialised in high-dimensional data preprocessing (filtering, cleansing, formatting) and analysis (scRNAseq, omics).
• Reviewed code and packages (libraries/modules) to improve the reproducibility and make them more user-friendly.
• Created functions for automating validation of prediction models that decreased the manual processing time.
• Built interactive web applications for data visualisation and analysis using R Shiny, with deployment to RStudio Connect for secure sharing and collaboration.

PhD in Physics (4 years)                                                                              January 2017 – December 2020

School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK

• Awarded BK Medical scholarship for a focused study on prostate cancer.
• Developed algorithms achieving 10-fold resolution gains in ultrasound (biomedical) imaging.
• US patent “Tracking contrast elements in ultrasound imaging”
• Predictive modelling on particle tracking algorithms.
• Generated simulation models for algorithms validation and efficiency.
• Author to publications on biomedical imaging and particle tracking.