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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, Assistant Professor, Secondary Appointed
Cinnamon Bloss, PhD, Professor and Assistant Dean for Academic Affairs
Brian Chen, PhD, MPH, Assistant Professor
Joachim Ix, MD, MAS, Professor, Secondary Appointed
Sonia Jain, PhD, Msc, Professor and Associate Dean for Justice, Equity, Diversity and Inclusion
Jordan Kohn, Assistant Project Scientist
Lin Liu, PhD, Associate Professor
Loki Natarajan, PhD, Professor and Associate Dean for Research
Corinne Peek-Asa, PhD, MPH, Distinguished Professor and Vice Chancellor for Research 
Rany Salem, PhD, MPH, Assistant Professor
Armin Schwartzman, PhD, Professor
Matthew Stone, PhD, Assistant Professor
Xin Tu, PhD, Professor
Florin Vaida, PhD, Professor
Jill Waalen, MD, PhD, Associate Diplomat
Xinlian Zhang, PhD, Assistant Professor
Jingjing Zou, PhD, Assistant Professor

Staff members:
Maliha Safdar

Research Labs

maduralogo.pngLed by Steve Edland, PhD, the MADURA Program (Mentorship for Advancing Diversity in Undergraduate Research on Aging) is a training opportunity funded by the NIH National Institute on Aging for UC San Diego Latinx and other underrepresented minority (URM) group undergraduates. Learn More

Dr. Xin Tu is a Professor of Biostatistics 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 infererence for classic statistical models for within-subject attributes, as well as modeling emerging high-dimensional data arising in biomedical and network research.