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Nick Haber

Photo of Nicholas Haber

Nicholas Haber

Assistant Professor

- Autonomous Agents Lab site

Assistant: Karen Hennessey

Office: CERAS 109


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 Human Performance Alliance
Member, Wu Tsai Neurosciences Institute

Program Affiliations

Learning Sciences and Technology Design (LSTD)
SHIPS (PhD): Education Data Science
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

See a full list of GSE Faculty research interests >

Recent Publications

Wang, K. D., Burkholder, E., Wieman, C., Salehi, S., & Haber, N. (2024). Examining the potential and pitfalls of ChatGPT in science and engineering problem-solving. FRONTIERS IN EDUCATION, 8.

Wang, K. D., Liu, H., DeLiema, D., Haber, N., & Salehi, S. (2024). Discovering Players′ Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining. FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024. ASSOC COMPUTING MACHINERY.

Ram, N., Haber, N., Robinson, T. N., & Reeves, B. (2023). Binding the Person-Specific Approach to Modern AI in the Human Screenome Project: Moving past Generalizability to Transferability. Multivariate Behavioral Research, 1–9.

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