Summary
Nic Geard is a Professor in the School of Computing & Information Systems at the University of Melbourne who applies computational simulation to understand and control infectious disease transmission, including influenza, group A Streptococcus, and COVID-19. He builds rich, heterogeneous models that link demographic, behavioral and pathogen variation to practical intervention strategies and has translated this work through roles from ARC DECRA Fellow to Director of the Melbourne Data Analytics Platform. His broader research spans complex biological and social systems—past work includes gene regulatory network evolution, developmental-evolutionary interplay, and co-evolving network dynamics—reflecting a strong interdisciplinary grounding in theory and application. Trained with a PhD in computer science from the University of Queensland and seasoned by collaborative stints at Southampton, he combines deep computational modelling expertise with a knack for turning nuanced scientific questions into policy-relevant simulations. He’s also known for having taken an extended bike journey between positions, hinting at a curious and persistent approach to research and problem solving.
13 years of coding experience
PhD Computer Science, PhD Computer Science at The University of Queensland