Dr. Hailey Kuang is an assistant professor of measurement and statistics whose work advances computational psychometrics by integrating machine learning, deep learning, and LLMs into psychometric methods. She has published widely and teaches courses on machine learning for social sciences, as well as descriptive and inferential statistics.

Dr. Scott Stagg is a professor of biological sciences and the Director of SECM4 at FSU. His research uses cryo-electron microscopy (cryo-EM) to uncover mechanisms of cellular molecular machines. He co-created CryoSift, a deep learning tool that automates cryo-EM data classification, bridging experimental biology with advanced computation.

Dr. Dexter is an assistant professor of scientific computing at FSU. His research focuses on computational mathematics, scientific machine learning, and uncertainty quantification, applied to areas like energy systems and deep learning. He has published at premier venues like NeurIPS and ICML and is passionate about advancing interdisciplinary research.

Dr. De is the Dean of the FAMU-FSU College of Engineering. He researches the intersection of computational science, deep learning, VR, and neuroimaging. Supported by the NIH and DOD, his work develops AI-based methods for video assessment of technical skills and uses fNIRS/EEG to study brain activity. His goal is to create validated tools for surgical training and enhancing human performance in complex systems.