Quantitative Methods in Public Health
The scope of Quantitative Methods in Public Health is broad, ranging from biostatistics to bioinformatics to biomedical data science, as well as experimental design, and other quantitative methods as applied to public health and biomedicine in general. We aim to become a hub of these focuses on the UC San Diego campus.
Ronghui (Lily) Xu, PhD, Professor - Program Lead
Academic members:
Gretchen Bandoli, PhD, Associate Professor, Secondary Appointed
Cinnamon Bloss, PhD, Professor and Associate Dean for Academic Affairs
Joachim Ix, MD, MAS, Professor, Secondary Appointed
Sonia Jain, PhD, Msc, Professor and Associate Dean for Research
Jordan Kohn, Assistant Project Scientist
Lin Liu, PhD, Associate Professor
Loki Natarajan, PhD, Professor
Corinne Peek-Asa, PhD, MPH, Distinguished Professor and Vice Chancellor for Research and Innovation
Rany Salem, PhD, MPH, Associate Professor
Armin Schwartzman, PhD, Professor
Matthew Stone, PhD, Assistant Professor
Xin Tu, PhD, Professor
Florin Vaida, PhD, Professor
Jill Waalen, MD, MPH, Associate Diplomat
Xinlian Zhang, PhD, Associate Professor
Jingjing Zou, PhD, Associate Professor
Staff members:
Maliha Safdar
Xin Tu, PhD, is a professor in the Division of Biostatistics and Bioinformatics. His group specializes in semiparametric and machine learning models and their applications to mental health and psychosocial research, and has extensive collaborations with investigators and multiple centers at UC San Diego. The group’s statistical methodologic research focuses on models for between-subject attributes, a new paradigm for facilitating inference for classic statistical models for within-subject attributes, as well as modeling emerging high-dimensional data arising in biomedical and network research.