Mitchell Naylor

Mitchell Naylor is an applied machine learning professional with extensive experience in natural language processing (NLP), statistical modeling, and deep learning. Mitch currently works as a lead data scientist at Azra AI, where he develops, improves, and deploys clinical NLP models. Additionally, Mitch leads applied research efforts in areas including language modeling, transfer learning, robustness, and model fairness.

Mitch's publications include papers at the Interpretable Machine Learning in Healthcare (IMLH) workshop at ICML and IEEE International Conference on Bioinformatics and Biomedicine (BIBM). His textbook contributions include code and case study development for Transformers for Machine Learning: A Deep Dive (Kamath, Graham & Emara; Chapman & Hall, 2022) and Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning (Kamath & Liu; Springer 2021).