Gabriel Ruiz

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Welcome!

E-mail: 17ruiz17@gmail.com, ruizg@ucla.edu

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I am currently a machine learning engineer at Adobe in San Jose, CA.

My areas of interest include causal inference, causal discovery, and generally the intersection of machine learning and statistics.

Previously, I was a PhD student in statistics at UCLA (2017-22). My dissertation advisors were Qing Zhou and Oscar Madrid Padilla.

Publications

Preprints and Working Papers

Causal Inference

Structural Equation Modeling

Grants:

NSF GRFP DGE-1650604

Work Experience

Teaching

I was a Teaching Assistant at UCLA for Statistics 10: Introductory Statistics (6x), Statistics 100A: Probability with Texas Hold ‘Em Examples (1x), Statistics 100C: Linear Models (1x), and Statistics 200C: High Dimensional Statistics (1x).

Miscellaneuous

Social Media

LinkedIn