Adam Tauman Kalai
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Adam Tauman Kalai | |
|---|---|
| Education | |
| Father | Ehud Kalai |
| Scientific career | |
| Fields | Computer Science, Artificial Intelligence |
| Institutions | |
| Thesis | Probabilistic and on-line methods in machine learning (2001) |
| Doctoral advisor | Avrim Blum |
| Other academic advisors | Santosh Vempala |
| Website | kal |
Adam Tauman Kalai is an American computer scientist who specializes in artificial intelligence and works at OpenAI.[1][2]
Kalai graduated from Harvard University in 1996 with a BA in computer science and received a MA and PhD, both in computer science, from Carnegie Mellon University in 1999 and 2001, respectively.[3] His doctoral advisor was Avrim Blum. After graduation, Kalai did his postdoctoral research at Massachusetts Institute of Technology under Santosh Vempala until 2003.[4] Kalai became a faculty member at the Toyota Technological Institute at Chicago from 2003 to 2006,[5] followed by a stint as an assistant professor at Georgia Institute of Technology from 2007 to 2008. He joined Microsoft Research in 2008[6][7] and subsequently moved to OpenAI in 2023.[1][2]
Contributions
Kalai is known for his algorithm for generating random factored numbers (see Bach's algorithm), for co-inventing the cooperative-competitive value (coco value), for efficiently learning learning mixtures of Gaussians, for the Blum-Kalai-Wasserman algorithm for learning parity with noise, and for the intractability of the folk theorem in game theory.[citation needed]
More recently,[when?] Kalai is known for identifying and reducing gender bias in word embeddings, which are a representation of words commonly used in AI systems.[7][8] In 2026, he coauthored a Nature paper on hallucinations in large language models.[9]
