Carlos Guestrin
Carlos Ernesto Guestrin | |
|---|---|
| Born | 1975 (age 50–51) |
| 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]
Biography
[edit | edit source]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]
Honors and awards
[edit | edit source]Guestin has received multiple honors and awards, including:
- Receiving an ONR Young Investigator Award, 2008[10]
- Receiving and IJCAI Computers and Thought Award (2009)[11]
- Being awarded a Presidential Early Career Award (2010)[12]
- Being elected as a Member of the National Academy of Engineering (2024)[13]
- Receiving awards at prestigious CS conferences, including KDD 2007,[14] KDD 2010,[15] ACL 2020,[16] and AISTATS 2010[17]
References
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