An interdisciplinary group of researchers, educators, and partners united by the goal of making college mathematics education more adaptive, equitable, and effective.
Strategic Research Initiatives Specialist at HDSI. Leads the integration of generative AI and multi-agent architectures for personalized mathematics education. Ph.D. from Carnegie Mellon University; previously Dean of CS at WGU, VP at IBM Cloud, and AI researcher at IBM T.J. Watson Research Center. Holds 20+ patents; recipient of the AAAI Best Paper Award and the Daniel H. Wagner Prize from INFORMS.
Professor of Cognitive Science at UC San Diego. Applies computational modeling, psychophysics, and machine learning to study visual and multi-sensory perception. Her expertise in neural signal classification and learning-based models informs ASPIRE's student modeling and adaptive feedback systems for mathematics.
Professor of Cognitive Science at UC San Diego. Her research on spatial attention, associative learning, and neuromodulation provides a neurobiological foundation for ASPIRE's adaptive attention and engagement models.
Teaching Professor (LSOE) in Education Studies at UC San Diego. Ph.D. from the University of Cambridge. Expert in technology-enhanced STEM+C education, educational robotics, and AI literacy in K–12 and post-secondary settings. Brings deep expertise in equity-centered pedagogical design for underrepresented learners.
Cloud-based lab and assessment platform partner providing the technical infrastructure for ASPIRE's adaptive programming exercises and real-time learning analytics.