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 efficiently assist in signal discovery, detection, estimation or testing. The Lab is specifically interested in the interplay of machine learning, AI and statistics. Lab' expertise is in learning, causality, robustness, optimization, inference, 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.
Data Science Undergraduate Students: Click here for DSC 180A/B project page
