From Deep Learning to Mainframe: Building a Career in Technology That Lasts

Assistant Professor of Computer Science Stephanie Gil Stephanie Gil, Assistant Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), researches how robots, drones, autonomous vehicles, and other physical agents can make decisions, coordinate with one another, and act effectively in complex real-world environments. Much of her recent work

Service officials are improving data and network infrastructure to support AI-enabled operations and information sharing. The Marine Corps and Coast Guard are investing in artificial intelligence and machine learning infrastructure to enhance operational capabilities as part of broader War Department efforts to build an AI-enabled force. Each service is taking a different approach to measuring

a lot about agentic AI, and the principle is simple: let the model decide. For a general-purpose assistant, that is fine: let the agent try, watch what it does. For an enterprise RAG process, it is dangerous. The answers feed real decisions, so we have to know every step and control the flow between the