I am a final-year PhD student in statistics. I am fortunate to be advised by Professor Art Owen and am also fortunate to work under the supervision of Professor David Lobell. I am grateful to be supported by a Stanford Interdisciplinary Graduate Fellowship as a James and Nancy Kelso Fellow. My research interests include multiple hypothesis testing, data fusion, and applications of statistics to agronomy and remote sensing.
- Kernel regression analysis of tie-breaker designs ELECTRONIC JOURNAL OF STATISTICS 2023; 17 (1): 243-290
- Combining randomized field experiments with observational satellite data to assess the benefits of crop rotations on yields ENVIRONMENTAL RESEARCH LETTERS 2022; 17 (4)
- Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions REMOTE SENSING OF ENVIRONMENT 2021; 262
Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic.
Infection control and hospital epidemiology
Reducing SARS-COV-2 infections among healthcare workers is critical. We ran Monte Carlo simulations modeling the spread of SARS-CoV-2 in non-COVID wards, and found that longer nursing shifts and scheduling designs in which teams of nurses and doctors co-rotate no more frequently than every three days, can lead to fewer infections.
View details for DOI 10.1017/ice.2020.337
View details for PubMedID 32684183