Roberto Tornero Costa Email & Phone Number

Woking, England, United Kingdom

Newport, Wales, United Kingdom

Full-time (37.5h/week) hybrid position at Aneurin Bevan University Health Board. Analysis of health data supporting the Health Protection and the Vaccination Programme teams inside the Public Health department of the Aneurin Bevan University Health Board. Due to the size of this organisation; any project or programme required a multidisciplinary response and the integration of multiple information systems with different statistical approaches. My daily routine consists of statistical analysis, data evaluation, monitoring of projects and making sure senior executives have a comprehensive understanding of the needs of each programme through reports or summaries. SQL, Excel, PowerBI, Python.

Valencia/València, Comunidad Valenciana / Comunitat Valenciana, España

Health data research at the Technical University of Valencia (UPV). Specialised in integrating heterogeneous healthcare data from multiple sources, data engineering, statistical research analysis, and data visualization. Machine Learning, Data mining Process mining, BI tools. Agile methodologies. Python (SK-learn, Pytorch, TF, pandas...), R (tidyverse, Shiny, Caret...)

Valencia/València, Comunidad Valenciana / Comunitat Valenciana, España

I collaborated with BioMIT Research Centre at Polytechnic University of Valencia. The reason of my collaboration was to elaborate the thesis of my master. This project involved non-invasive analysis of sinus rhythm through ECG, mathematical analysis of HRV, developing, tuning and applying Machine Learning models and knowledge of statistical methods on datasets such as oversampling techniques.Title of my thesis: "Application of Heart Rate Variability in the Prediction of Vascular Events in Hypertensive Patients".

Valencia/València, Comunidad Valenciana / Comunitat Valenciana, España

I collaborated with this department in order to complete my final project required to successfully obtain the title of Biomedical Engineer. In this project, I validated different biomechanical models used to describe tumoral displacements during patient’s cancer treatments from computed tomography scan images of livers in inhale-end and exhale-end states.The title of my project was “Development of biomechanical models for liver and tumoral displacements due to breathing through Finite Element Methods”

Postgraduate Certificate Deep Learning Applied To Signal And Image Analysis

Use of Deep Learning models (CNN, LSTM, Transformers...). Python libraries (Tensorflow, Pytorch, Keras).

Master Of Science - Ms, Biomedical Engineer

Thesis: Development of a Machine Learning predictive method in order to assess the risk of undergoing a cardiovascular event.

Bachelor'S Degree, Biomedical Engineer

Final Project: "Development of biomechanical models for liver and tumoral displacements due to breathing through Finite Element Method"..