STATISTICS LAB FOR CAUSAL & ROBUST MACHINE LEARNING
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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.
Data Science Undergraduate  Students: Click here for DSC 180A/B project page

Current Lab Members

 
Jelena Bradic, PI
Weijie Ji, PhD, 2019-
Zijin (Jason) Lin, PhD, 2019-
Yuyao Wang, PhD, 2020- , co-advised with Ronghui Xu
Weiwei Wu, PhD, 2020-

Past Lab Members

Jiaqi Guo, PhD, 2013-2017, now Research Scientist at Amazon
Jue (Marquis) Hou, PhD 2014-2019, co-advised with Ronghui Xu, next postdoc at Harvard Biostat, now Assistant Professor of Biostat at U Minnesota
Alexander Hanbo Li, PhD, 2013-2017, now Applied Research Scientist at Amazon AI Lab, before at Amazon Alexa.
Denise Rava, PhD, 2017-2021, co-advised with Ronghui Xu, now Assistant Teaching Professor at UCSD.
Davide Viviano, PhD 2017-2022, co-advised with Graham Elliot, next Postdoc at Stanford GSB and Assistant Professor of Economics at Harvard University.
Yuqian Zhang, PhD 2017-2022, now Assistant Professor of Statistics at Renmin University of China.
Yinchu Zhu, PhD, 2014-2017, co-advised with Allan Timmermann, now Assistant Professor of Economics at Brandeis University; before Assistant Professor at University of Oregon, Lindquist College of Business
Christopher Campos, Undergraduate, 2013-2014, next PhD student at UC Berkeley Economics
Colleen Chan, Undergraduate, 2017-2018, next PhD student at Yale Statistics
Wenjing Yin, Undergraduate, 2013-2015, next PhD student at UIUC Statistics
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