External links
- Adam Tauman Kalai publications indexed by Google Scholar
Adam Tauman Kalai | |
|---|---|
| Education | |
| Father | Ehud Kalai |
| Relatives | Murray Moss (uncle) [1] |
| 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. [2] [3]
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. [4] His doctoral advisor was Avrim Blum. After graduation, Kalai did his postdoctoral research at Massachusetts Institute of Technology under Santosh Vempala until 2003. [5] Kalai became a faculty member at the Toyota Technological Institute at Chicago from 2003 to 2006, [6] followed by a stint as an assistant professor at Georgia Institute of Technology from 2007 to 2008. He joined Microsoft Research in 2008 [7] [8] and subsequently moved to OpenAI in 2023. [2] [3]
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. [8] [9]
Kalai is the son of game theorist Ehud Kalai and is married to cryptographer Yael Tauman Kalai. [10] [11] His mother is Fern Moss, sister of entrepreneur and art curator Murray Moss. [1]
