Calculated based on number of publications stored in Pure and citations from Scopus
20142024

Research activity per year

Personal profile

Research Expertise

  • Nutritional epidemiology
  • Causal inference
  • Machine learning
  • Epidemiology
  • Biostatistics

Research Biography

I am a nutritional epidemiologist. I have a clinical background (BSc, 2009) and quantitatively focused training in public health (MPH, 2012). I further expanded my expertise with degrees in nutrition (MPH, 2018), nutritional epidemiology (PhD, 2018), and Statistics and Data Science (MSc, 2024). Following my doctoral studies, I completed postdoctoral training in nutrition and sleep epidemiology from 2019 to 2021. I possess strong research and analytical skills, strengthened by extensive coursework, research experience, and short-term training in quantitative epidemiological methods, causal inference, data science, and biostatistics. My research in nutritional epidemiology aims to deepen our understanding of how diet influences population health, uncover causal dietary risk factors for chronic diseases, and inform targeted prevention strategies by leveraging advanced statistical, data science, and causal inference methods. I am currently an NHMRC Emerging Leadership Fellow (EL1), with a focus on the application of causal inference and machine learning in nutritional epidemiology.

Research Interests

  • Nutritional epidemiology
  • Causal inference
  • Machine learning
  • Epidemiology
  • Biostatistics

Education/Academic qualification

Master of Science, Statistics and Data Science, Hasselt University

1 Sept 20226 Sept 2024

Award Date: 6 Sept 2024

PhD, University of Adelaide

Jul 2015Jul 2018

Master of Science, Addis Continental Institute of Public Health

Jul 2014Jul 2018

Master of Science, Mekelle University

Jul 2010Jul 2012

Bachelor of Science, University of Gondar

Jan 2006Dec 2009

External positions

Research Associate, South Australian Health and Medical Research Institute

Jan 2020Dec 2022

Adjunct Fellow, University of Adelaide

Sept 2019Sept 2023

Supervision

  • Registered

Research Areas

  • Public health

Supervisory Interests

  • Nutritional Epidemiology
  • Sleep Epidemiology
  • Causal inference
  • Epidemiology
  • Biostatistics
  • Machine learning

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