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Raul Astudillo

Cornell University

I am a fourth year Ph.D. student in the School of Operations Research and Information Engineering at Cornell University, where I am fortunate to be advised by Professor Peter Frazier. Prior to coming to Cornell, I completed the undergraduate program in Mathematics offered jointly by the University of Guanajuato and the Center for Research in Mathematics. My current research focuses on the design and analysis of Bayesian optimization algorithms for problems with nested objective functions.

Interests

  • Bayesian Optimization
  • Preference Learning
  • Simulation Optimization
  • Design of Experiments
  • Optimal Learning

Education

  • Ph.D., Operations Research and Information Engineering, 2021 (expected)

    Cornell University

  • B.S., Mathematics, 2016

    University of Guanajuato & Center for Research in Mathematics (Mexico)

Publications

(2020). Multi-Attribute Bayesian Optimization With Interactive Preference Learning. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics.

PDF

(2019). Bayesian Optimization of Composite Functions. Proceedings of the 36th International Conference on Machine Learning.

PDF

Talks

Bayesian Optimization of Composite Functions
Bayesian Optimization of Composite Functions
Bayesian Optimization of Composite Functions
A Utility Uncertainty Approach to Multi-Attribute Bayesian Optimization

Industry Experience

 
 
 
 
 

Research Intern

ExxonMobil Upstream Research Company

Jul 2019 – Aug 2019 Houston, TX
Developed novel Bayesian optimization algorithms for improving reservoir development planning under geological uncertainty.
 
 
 
 
 

Research Intern

ExxonMobil Upstream Research Company

May 2018 – Aug 2018 Houston, TX
Developed novel Bayesian optimization algorithms for improving reservoir development planning under geological uncertainty.

Contact

  • 288 Rhodes Hall, Ithaca, NY, 14850, United States