External links
- Adam Tauman Kalai publications indexed by Google Scholar
Adam Tauman Kalai | |
|---|---|
| Nationality | American |
| Education | |
| Father | Ehud Kalai |
| Scientific career | |
| Fields | Computer Science, Artificial Intelligence |
| Institutions | |
| Doctoral advisor | Avrim Blum |
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 and received a PhD from Carnegie Mellon University in 2001, where he worked under doctoral advisor Avrim Blum. He did his postdoctoral study at the Massachusetts Institute of Technology before becoming a faculty member at the Toyota Technological Institute at Chicago and then the Georgia Institute of Technology. He joined Microsoft Research in 2008 [3] [4] and subsequently moved to OpenAI in 2023. [1] [2]
Kalai is known for his algorithm for generating random factored numbers (see Bach's algorithm), 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. [4] [5]
Kalai is the son of game theorist Ehud Kalai and is married to cryptographer Yael Tauman Kalai. [6] [7]
