The Machine Learning and Assistive Technology (MLAT) Lab was founded in January 2015 with the goal of providing a formal organization for researchers at Chapman dedicated to leveraging technology to improve the understanding and treatment of developmental disorders. While our projects vary from machine learning to virtual reality to bioinformatics, we all work together to apply cutting-edge science to clinical, educational, and medical domains. In particular, we specialize in understanding the screening, treatment, and management of autism spectrum disorder (ASD). Together with our collaborators we try to get innovative technologies deployed to the people that stand to benefit the most from them. Led by Dr. Erik Linstead, our team contains expertise in the areas of predictive analytics, software engineering, molecular biology, and artificial intelligence. We look forward to pioneering assistive technologies for autism and related disorders for many years to come.