Seraphina Shi

Publications

Zach Butzin-Dozier, Ph.D.; Sky Qiu; Alan Hubbard, Ph.D.; Seraphina Shi; Mark van der Laan, Ph.D.
Journal Article, 2024
Seraphina Shi; Wenxin Zhang; Alan Hubbard; Mark van der Laan
Journal Article, 2024
Zach Butzin-Dozier, Ph.D.; Yunwen Ji; Haodong Li; Jeremy Coyle; Seraphina Shi; Rachael Phillips, Ph.D.; Andrew Mertens; Romain Pirracchio, M.D., MPH, Ph.D, FCCM; Mark van der Laan, Ph.D.; Rena C Patel; John M Colford; Alan Hubbard, Ph.D.
Journal Article, 2024
Department: 
Biostatistics
Bio/CV: 

Seraphina Shi is currently a PhD candidate in Biostatistics at the university of California, Berkeley, working/mentored by professors Alan Hubbard and Haiyan Huang. Her research interests primarily lie in precision medicine, causal inference, and machine learning methodologies and applications. Recent work has been in causal inference, and machine learning methodologies and applications in precision medicine.

Research interests: 

Precision medicine, Causal Inference, and Machine Learning Methodologies and Applications.