
Evangelos Kanoulas
Pharmaceutical / Bio-tech
About 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.
Experience
- 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.
Education
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.
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