Carlos Ernesto Guestrin | |
|---|---|
| Born | 1975 |
| Alma mater | University of São Paulo Stanford University |
| Known for | XGBoost |
| Scientific career | |
| Fields | Computer science |
| Doctoral advisor | Daphne Koller |
Carlos Ernesto Guestrin (born 1975) is a Brazilian computer scientist and a professor at Stanford University. He is best known for his contributions to scalable machine learning algorithms. [1]
Guestrin was born in Argentina in 1975, but went on to be raised in Brazil. [2] He received a Mechatronics Engineer degree from the Polytechnic School of the University of São Paulo, [2] and a Ph.D. in Computer Science from Stanford University, advised by Daphne Koller. [3] Guestrin went on to work as professor at Carnegie Mellon University (2004 to 2012), the University of Washington (2012-2021), and Stanford University (since 2021). [4] He was a co-founder of Turi (formerly GraphLab), a machine learning startup that was acquired by Apple Inc. in 2016. [5] After selling the startup, Guestrin worked at Apple as the Senior Director of Machine Learning and AI. [6]
Guestrin was involved in the creation of various popular machine learning libraries and methods, including the XGBoost library, [7] the LIME technique for explainable machine learning, [8] and the GraphLab project for scalable machine learning. [9]
Guestin has received multiple honors and awards, including: