I am a Computationl Biologist creating Agentic Machine Learning based models in molecular biology, biotechnology, and synthetic biology. My background includes a doctorate in Computer Science and Masters in Computational Molecular Biology (Masters Thesis done at Stanford). I will be speaking on Agentic Models in biology in general and a specific model for inter and intracellular signaling in specific with applications in biomedicine and Synthetic Biology using reinforcement learning, causal reasoning, differential equation modeling of molecular dynamics, and interactions with bio-focussed neural net machine learning models. We will discuss where Agent based models in biology stand in the current research and where the research is going.