Summary
Skyler Hallinan is a Member of Technical Staff at Microsoft AI with nine years of experience bridging academic research and industry engineering in natural language processing. Trained through a combined BS/MS at the University of Washington and recent PhD work at USC, Skyler focuses on improving reasoning capabilities in large language models and has interned at leading AI teams including Apple, AWS, Samaya AI, and Microsoft Research. They have hands-on experience mentoring and teaching at scale—serving as head TA for graduate AI courses and building an autograder framework used in large classes—which reflects a knack for making complex systems and pedagogy operational. Skyler’s background in CS, bioengineering, and applied math gives them an interdisciplinary lens for ML problems and model evaluation. Comfortable moving between research and applied product settings, they bring both published research instincts and production-aware engineering to make models more robust and interpretable. Based in Seattle, Skyler is actively open to collaborations that push the boundaries of language model reasoning.
9 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Southern California
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Washington