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Biography
Nick Haber is an Assistant Professor at the Stanford Graduate School of Education, and by courtesy, Computer Science. After receiving his PhD in mathematics on Partial Differential Equation theory, he worked on Sension, a company that applied computer vision to online education. He then co-founded the Autism Glass Project at Stanford, a research effort that employs wearable technology and computer vision in a tool for children with autism. Aside from such work on learning and therapeutic tools, he and his research group develop artificial intelligence systems meant to mimic and model the ways people learn early in life, exploring their environments through play, social interaction, and curiosity.
Other titles
Assistant Professor, Graduate School of Education
Member, Bio-X
Member, Wu Tsai Neurosciences Institute
Program affiliations
DAPS
Learning Sciences and Technology Design (LSTD)
SHIPS (PhD): Educational Data Science
(MS) LDT
(MS) EDS
Stanford Accelerator for Learning
Research interests
Assessment, Testing and Measurement | Brain and Learning Sciences | Child Development | Collaborative Learning | Data Sciences | Early Childhood | Motivation | Psychology | Social and Emotional Learning | Special Education | Technology and Education
Recent publications
Kim, I., Boffa, J., Cho, M., Conroy, D. E., Kline, N., Haber, N., … Ram, N. (2025). Stanford Screenomics: An Open-source Platform for Unobtrusive Multimodal Digital Trace Data Collection from Android Smartphones. MedRxiv : the Preprint Server for Health Sciences.
Wang, K. D., Wu, Z., Tufts, L. N., Wieman, C., Salehi, S., & Haber, N. (2025). Scaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education. 2025 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE, EDUCON. IEEE.
Cerit, M., Zelikman, E., Cho, M.-J., Robinson, T. N., Reeves, B., Ram, N., & Haber, N. (2025). Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs. EXTENDED ABSTRACTS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2025. ASSOC COMPUTING MACHINERY.
