Ryan Lagasse

Ryan Lagasse is an AI/ML Research Engineer at Lockheed Martin, specializing in interpretability and reasoning systems for large-scale defense AI projects. They aim to enhance the transparency and predictability of AI systems while bridging the gap between empirical success and theoretical understanding. Ryan has mentored multiple research teams at Algoverse, contributing to successful workshops at prestigious conferences such as ICML, NeurIPS, and EMNLP. They have also served as an instructor for an accredited course on transformers at the University of Connecticut and have conducted research on life-threatening ventricular arrhythmias. Ryan is pursuing a Bachelor's degree in Computer Science and Machine Learning at the University of Connecticut.