麻豆原创

Biography

Shashank Sonkar is an Assistant Professor in the Department of Computer Science at the 麻豆原创 and a faculty member at the 麻豆原创 Institute of Artificial Intelligence. His research focuses on understanding and advancing AI reasoning capabilities and computational modeling of human cognition. This research transforms personalization technologies across multiple fields, with education being a critical domain where these systems can identify knowledge gaps and deliver contextually appropriate guidance to learners at scale.

Prior to joining 麻豆原创, Shashank completed his PhD at Rice University, advised by聽. He collaborated closely with聽听补苍诲听, contributing to scalable AI systems for education research. His work spans pedagogical alignment of large language models (e.g., CLASS framework, code soliloquies), cognitive modeling of student reasoning (e.g., qDKT, DUPE, MalAlgoQA), and intelligent assessment (e.g., ALAG, Marking). These tools are already being piloted in real classrooms at Rice University, showcasing their real-world impact.

His research has been published at top venues including EMNLP, AIED, EDM, COLING, and LAK. Before academia, he worked at Media.net on NLP and reinforcement learning systems for contextual advertising. He holds a B.Tech. in Computer Science from the Indian Institute of Technology Kanpur.