Niket Tandon is a Senior Research Scientist at the Allen Institute for AI in Seattle, specializing in research related to commonsense reasoning, feedback-guided reasoning and Large Language Models. He works at the Aristo team created AI that aced science exams. In 2016, Tandon obtained his Ph.D. from the Max Planck Institute for Informatics in Germany, where he was supervised by Professor Gerhard Weikum. His thesis resulted in the largest automatically extracted commonsense knowledge base at the time, called WebChild, which has since been applied in NLP applications and Visual Question Answering. Niket has held various positions in the past, including at Microsoft Research, Redmond; Yahoo R&D, Bangalore; and IBM Labs. He is also the founder of PQRS research, an organization providing research opportunities to undergraduate students from underrepresented institutes. He has organized tutorials and workshops at various conferences, and has been actively engaging with the research community in reviewing roles as Senior PC, Area Chair and in Panel discussions, all with a focus on NLP and commonsense knowledge.

Research Interests

  • Natural Language Processing: LLMs, NLG
  • Artificial Intelligence: NL guided Commonsense Reasoning