The Statistics Lab for Causal & Robust Machine Learning at UCSD is led by Professor Jelena Bradic of the Department of Mathematics and Halicioglu Data Science Institute. The Lab designs new models and methods that can more efficiently assist in signal discovery, detection, estimation or testing compared to the current methods for AI and machine learning. Lab expertise is in causality, robustness, machine learning, optimization, statistics, efficiency and model selection.
The Lab is always looking for highly qualified and motivated PhD students and postdocs. Email: jbradic@ucsd.edu if interested.
The Lab is always looking for highly qualified and motivated PhD students and postdocs. Email: jbradic@ucsd.edu if interested.
