Ryan Lagasse serves as the Head of Research at Algoverse, where he has mentored 7 research teams with publications accepted to workshops at ICML, NeurIPS, EMNLP, and more.
Ryan is an AI/ML Research Engineer at Lockheed Martin, where he works on agents, reasoning, and advanced AI architectures. His research there has contributed to advancements in AI and crewed-uncrewed teaming. He has also conducted research on auto-interpretability and gradient-based attribution methods for large language models alongside Uzay Macar from Anthropic.
Ryan's algorithms research includes developing hybrid quantum algorithms that achieved state-of-the-art performance on n-body simulations, accepted as an oral presentation at QCNC 2025.
Begin Your Journey
The application takes 10 minutes and is reviewed on a rolling basis. We look for strong technical signal—projects, coursework, or competition results—and a genuine curiosity to do real research.
If admitted, you will join a structured pipeline with direct mentorship to take your work from ideation to top conference submission at venues like NeurIPS, ACL, and EMNLP.
