John Kirchenbauer

John Kirchenbauer is a graduate assistant at the University of Maryland, specializing in research at the Center for Machine Learning since September 2021. Previously, John completed a PhD residency in AI/ML at X, the moonshot factory, focusing on large language models and machine learning. With experience as an associate machine learning engineer at the Software Engineering Institute at Carnegie Mellon University, John's work emphasized uncertainty quantification, robustness, and scalability in ML techniques. John has also held positions in NLP research development at Capacity and data pipeline engineering at Capital One. Academic credentials include ongoing PhD studies at the University of Maryland, an MS in Machine Learning and Data Mining, and a BS in Computer Science from Washington University in St. Louis, complemented by a BA and performance diploma from Oberlin College.