"My research focuses on understanding how and why biodiversity (whom) drives ecosystem functioning (what). From intertidal invertebrates to tropical coral reef matrices, I combine ecological theory with scientific machine learning, computer vision, AI and probabilistic modeling to understand nature and create the systems that allow us to protect it."
At the Australian Institute of Marine Science (AIMS) my work focuses on bridging the gap between field observations, complex physical-ecological simulations, and real-time decision support.
Beyond core computational workflows, I have an enduring personal passion for the ecology and behaviour of intertidal crabs, fish movement, metascience, scientific outreach, and advancing the public understanding of science.
mindmap
root((César Herrera))
Digital Twins
Bidirectional IoT & Telemetry
Controlled Experiments
Reef-Scale Digital Shadows
Scientific Machine Learning (SciML)
PINNs
Neural Bayes Estimators
Surrogate Models & ST-GNNs
Simulations
3D Vision & Photogrammetry
3D Gaussian Splatting
Underwater Structure-from-Motion
Monocular Depth Estimation
GenAI & Knowledge Retrieval
Multimodal Ecological Knowledge Bases
Marine DNA & Microbial Diagnostics
Ecology
Biodiversity & Ecosystem Functioning
Crabs & Fish Behavior and Movement
Invertebrates
- 🤝 Collaborations: Open to discussions on Scientific Machine Learning, ocean digital twins, underwater photogrammetry/computer vision, and AI for nature conservation.