Dr. Lydeamore is a broadly skilled statistician and infectious disease modeller whose work spans a wide array of applications across health, biostatistics, and various non-medical fields. From simple regressions to advanced machine learning and large-scale mathematical modelling, Dr. Lydeamore’s versatile skill set equips him to tackle complex questions in public health, policy, and beyond.

Building on his extensive background in infectious disease modelling, Dr. Lydeamore’s current projects involve studying COVID-19 dynamics and controlling the spread of antimicrobial resistance in Victorian hospitals, in collaboration with The Alfred and the School of Clinical Sciences (Monash University). His research also explores broader topics outside health, including quantitative approaches to policy-making, data analytics in the social sciences, and machine learning solutions for diverse challenges.

Dr. Lydeamore’s research is in the intersection of robust statistical tools with real-world data. Whether applying basic regressions or advanced machine learning techniques, he consistently bridges theoretical foundations with hands-on solutions. This interdisciplinary approach underpins his commitment to generating impactful, evidence-based insights that guide clinical practice, policy decisions, and innovation in fields far beyond epidemiology.

I am open to consulting opportunities across a wide range of fields, offering a versatile skill set that combines fundamental statistical techniques with advanced methods such as machine learning and mathematical modelling. Whether you need straightforward regression analyses or more complex predictive approaches, I am available to collaborate on data-driven projects that inform decision-making in public health, policy, business, or other sectors.