Dimitrios Doudesis, PhD

Dimitrios Doudesis, PhD

Postdoctoral Research Fellow

University of Edinburgh

Biography

I am a Postdoctoral Research Fellow in Data Science/Precision Medicine at The University of Edinburgh. I studied Statistics at The Athens University of Economics and Business (2017), and completed an MSc in Medical Statistics at The University of Southampton (2018). I did my PhD in Data Science/Precision Medicine at The University of Edinburgh (2022). I have previously worked as a Data Analyst at PREDICTA S.A. (former SPSS BI GREECE S.A.).

My research interests are machine learning, deep learning, medical statistics, cardiology and R Shiny app development as clinical decision-support tools.

Interests

  • Machine Learning
  • Deep Learning
  • Medical Statistics
  • Precision Medicine
  • Cardiology
  • App development (Shiny)

Education

  • PhD in Data Science/Precision Medicine, 2022

    University of Edinburgh

  • MSc in Medical Statistics, 2018

    University of Southampton

  • BSc in Statistics, 2017

    Athens University of Economics and Business

Programming Skills

R

shiny

Shiny

Python

SQL

spss

SPSS Statistics

spss

SPSS Modeler

Experience

 
 
 
 
 

Course Lead - Health Data Science

The University of Edinburgh

Sep 2022 – Present United Kingdom
 
 
 
 
 

Postdoctoral Research Fellow

The University of Edinburgh

Mar 2022 – Present United Kingdom
 
 
 
 
 

Research Fellow

The University of Edinburgh

Oct 2021 – Feb 2022 United Kingdom
 
 
 
 
 

Research Assistant

The University of Edinburgh

Apr 2020 – Sep 2020 United Kingdom
Project: Student perspectives on Learning and Teaching Data Science in the MBChB programme.
 
 
 
 
 

Teaching Assistant/Tutor

The University of Edinburgh

Sep 2019 – Sep 2021 United Kingdom

Courses:

  • Health Data Science
  • Data Science in Medicine
  • Machine Learning in Python
  • Biomedical Data Science
  • Advanced Epidemiology
  • Introduction to Statistics
  • Statistics (Year 2)
  • Statistical Modelling
  • Statistical Computing
 
 
 
 
 

Data Analyst

PREDICTA S.A. (former SPSS BI GREECE S.A.)

Mar 2017 – Sep 2017 Greece
Project: International Financial Reporting Standards (IFRS) 9 for a systemic bank in Greece.

Grants

British Heart Foundation Translational Award (TA/F/22/210039)

BHF 2022
Project: Artificial Intelligence to Guide the Diagnosis of Acute Heart Failure using the CoDE-HF Algorithm. £265,622 (Co-applicant)

Accelerated Access Collaborative in partnership with NHSX and the National Institute for Health Research Artificial Intelligence in Health and Care Award (AI_AWARD02322)

NIHR and NHSX 2021
Project: Machine learning to improve the diagnosis of acute myocardial infarction. £134,589 (Co-applicant)

British Heart Foundation Centre for Research Excellence. Top-up to the MRC/CIC8/79 award

BHF 2021
Project: AI guided diagnosis of acute heart failure using the CoDE-HF algorithm. £24,741 (Co-applicant)

Medical Research Council Confidence in Concept Translational Bursary

MRC 2021
A Translational Bursary for training and development in Translation and Commercialisation. £1,613 (PI)

Medical Research Council Confidence in Concept award (MRC/CIC8/79)

MRC 2020
Project: AI guided diagnosis of acute heart failure using the CoDE-HF algorithm. £143,800 (Co-applicant)

Medical Research Council Scholarship for PhD in Data Science/Precision Medicine

MRC 2018
The University of Edinburgh, 3.5 years - fees, stipend and research costs, £85,960 (Scholarship)

National Institute for Health Research Scholarship for MSc in Medical Statistics

NIHR 2017
The University of Southampton, 1 year - fees and stipend, £23,553 (Scholarship)

Honours & Awards

Innovation Award

BHF/Centre for Cardiovascular Science Symposium 2022
Sponsored by Edinburgh Innovations & iTPA Translational Community

Young Investigator Award - Clinical Cardiology, Runner-up

European Society of Cardiology [ESC] 2020

Professional Affiliations

Fellow of Royal Statistical Society (FRSS)

RSS 2021

Associate Fellow of Higher Education (AFHE)

HE 2021

Member of Association of Data Scientists (MADaSci)

ADaSci 2021

Projects

CoDE-HF

Collaboration for the Diagnosis and Evaluation of acute Heart Failure
publication The BMJ visual abstract Link to the Shiny app
CoDE-HF

CoDE-ACS

Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome
publication under review Link to the Shiny app
CoDE-ACS

Health Data Science

An online learning credit-bearing course aims to equip healthcare professionals with the key foundations and data skills that are needed for data-driven innovation.
course website 1 course website 2
Health Data Science

MI3

Validation of a machine learning algorithm to guide the diagnosis of myocardial infarction.
publication
MI3

COVID-19

Diagnostic performance of the combined nasal and throat swab in patients admitted to hospital with suspected COVID-19
publication
COVID-19

Contact