Jeffrey Annis Email & Phone Number

• Integrated models of deep learning and human cognition to further our understanding of human and computer vision, resulting in one of the most advanced and predictive models in the field.• Implemented probabilistic models using state-of-the-art Markov Chain Monte Carlo techniques, providing robust measures of uncertainty to aid in critical decision making.• Developed R and Python packages to provide a highly efficient pipeline for data analysis and model fitting.• Created statistical computing methods for improving the efficiency large-scale Bayesian model selection.• Managed a team of research assistants conducting machine learning projects.• Constructed publication-quality visualizations of high-dimensional and complex data.• Published high impact, peer-reviewed research.

• Delivered engaging lectures for undergraduate Research Methods and Statistics classes. • Managed 10 teaching assistants, lectured for 100+ students, and provided individual tutoring on research methods and statistics.• Designed and conducted pioneering behavioral studies on vision and memory.• Invented statistical techniques for differentiating between independent and correlated human responses, informing the development of models of human behavior.