Daniel McInnes

Daniel McInnes is Assistant Lecturer in Monash University's School of Mathematics. His research applies controllable Markov chains to optimize critical infrastructure systems including water distribution networks and energy pipelines.

Research focuses on developing stochastic control models for resource allocation under uncertainty. Key applications include flood mitigation in the Goulburn-Murray river system and gas flow optimization in Australian energy networks.

Publications demonstrate consistent methodology development for dam management and infrastructure planning. Collaborative projects address policy implications of inequality metrics in environmental contexts.