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I am an Assistant Professor in the Department of Statistics at University of California Santa Cruz. I am broadly interested in statistical methods and tools to address scientific questions in demography, epidemiology, and global health. Currently I work on latent variable modeling in messy, high-dimensional data, space-time models, causal inference, and applications in health data science.
I was previously a postdoctoral researcher working with Forrest Crawford in the Department of Biostatistics at Yale School of Public Health. I received my Ph.D. from the Department of Statistics at the University of Washington, advised by Tyler McCormick.
My research is generously supported by the National Institutes of Health (NIH R03HD110962), Melinda and Bill Gates Foundation, Vital Strategies, the Hellman Fellows Program, and UCSC.
Some Current Projects
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Novel data collection: Active data collection, prior elicitation, and integrating data collection process into analysis pipeline.
CHIL'23 | |
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openVA: Open-sourced tools for a standardized pipeline to process and code verbal autopsy data using multiple algorithms.
RJournal'23, arXiv'18 | |
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Small-Area Estimation: Prevalence estimation in small domains using data collected by complex surveys.
arXiv'21, DHS'21, Vignette'20, PLoS'19, |
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COVID-19: Model-based projections; prevalence estimation; and assessing the impact on population mortality.
AOE'22, SciReports'21, PNAS'21 |
News
- [4/2024] New package led by Qianyu on CRAN: surveyPrev provides a general framework for small area estimation and prevalence mapping using DHS data. Check out our vignettes on modeling and customization!
- [3/2024] New small area estimation functions in SUMMER are now part of the survey package: vignette in survey and vignette in SUMMER. SUMMER also has an updated website!
- [11/2023] New paper on tree-structured domain adaptive VA model accepted at Biostatistics.
- [10/2023] New paper on domain adaptive VA model accepted at AOAS.
- [09/2023] New NIH grant (PI: Jon Wakefield): Bayesian Mortality Estimation from Disparate Data Sources.
- [08/2023] New grant from UC Office of the President on farm worker community health (PI: Matt Sparke).
- [07/2023] Yu (Zoey) Zhu successfully passed her PhD candidacy exam! Zoey will develop Bayesian latent variable models for mortality surveillance in her dissertation. Congratulations Zoey!
- [06/2023] PhD student Yu (Zoey) Zhu and Toshiya Yoshida awarded summer fellowship from the department and Graduate Dean's travel grant from UCSC. Yu (Zoey) Zhu also received travel support to present at WNAR annual meeting. Congratulations Yu and Toshiya!
- [04/2023] New paper led by PhD student Toshiya Yoshida accepted at CHIL 2023 as an oral presentation (12 out of 90 submissions). Congratulations Toshiya!
- [03/2023] New paper out in the R Journal.
- [12/2022] PhD student Toshiya Yoshida awarded the 2023 Quad Fellowship. Congratulations Toshiya!
- [09/2022] New NIH grant: Developing an innovative statistical framework to integrate multiple verbal autopsy datasets to estimate cause-specific mortality.
- [08/2022] New grant from the Bill & Melinda Gates Foundation (PI: Sam Clark) to support the openVA team to create a pathology-informed reference death archive.
- [06/2022] PhD students Yu (Zoey) Zhu and Toshiya Yoshida awarded summer fellowship from the department. Congratulations Zoey and Toshiya!
- [04/2022] New paper out in Global Health Action.
- [03/2022] New grant from the Hellman Fellows program: Towards adaptive verbal autopsy survey design.
- [03/2022] New grant from UCSC Committee on Research: Estimating mortality rates of emerging diseases using verbal autopsies.