About Hom Nath

Dr Hom Nath Dhungana

Statistician | Lecturer | Infectious Disease Modeller | Data Science Educator

I translate complex data into clear evidence for teaching, public health, policy, and decision-making.

Biostatistics Mathematical Modelling Bayesian Statistics R, Shiny & Reproducible Research

About me

I am a statistician and academic with more than 15 years of experience in teaching, research, statistical consulting, and applied modelling. My work focuses on biostatistics, applied statistics, infectious disease modelling, Bayesian methods, public health analytics, and data-driven policy analysis.

I completed my PhD at the School of Mathematical and Physical Sciences, University of Technology Sydney. My doctoral and postdoctoral work focused on mathematical and statistical modelling of infectious diseases, including tuberculosis and COVID-19.

Currently, I am involved in higher education teaching, research supervision, and applied data science projects in Australia and internationally. I also lead practical research training through Think Data Solution, helping students, researchers, and institutions convert data into meaningful insights.

15+
Years
Teaching, research and consulting experience
PhD
UTS Sydney
Mathematical and statistical modelling
WHO
Collaboration
Postdoctoral COVID-19 modelling work
R
Reproducible research
R Markdown, Shiny, simulation and visual analytics

Research focus

Infectious Disease Modelling

SIR/SEIR models, tuberculosis, COVID-19, dengue, reproduction number estimation, forecasting and intervention analysis.

Bayesian & Spatial Statistics

Bayesian hierarchical models, disease mapping, uncertainty quantification, INLA, MCMC and spatio-temporal analysis.

Teaching Innovation

R Markdown, R Shiny, simulation-based learning, AI-supported teaching and applied statistics education.

Data for Policy

Transforming data into evidence for health, education, energy, economics and public-sector decisions.

Recent news and updates

2026: Continuing academic work in ICT, statistics, data analytics, infectious disease modelling, and research training.

2025: Joined Charles Sturt University, Sydney Campus, as Lecturer.

2023: Published research on isolation as a control strategy and elimination of tuberculosis in India in Infectious Disease Modelling.

2022: Published Elsevier book chapter on epidemic theory, reproduction numbers, epidemic thresholds, and infectious disease analysis.

2021: Worked as a postdoctoral fellow with Population Council in collaboration with WHO.

My mission: to make statistics, modelling and data science accessible, visual, ethical and useful for real-world decisions.

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