Nathan Lo

Closed (1) Modeling public health policy in infectious diseases

Applications for fall 2021 are now closed for this project.

Our research group uses computational modeling to inform and change public health policy in global infectious diseases. We mix fields of statistical modeling, simulation, epidemiology, and genomics to guide pressing policy issues. Past projects have included mathematical modeling of new World Health Organization guidelines for treatment of parasitic worm infections that affect 1.5 billion of the world’s poorest people, simulation of asymptomatic testing strategies for control of COVID-19 during the pandemic, and work on public health guidelines for vaccine-preventable infectious diseases such as typhoid fever and measles. We have published in the top medical and scientific journals (Lancet and JAMA journals, NEJM, PNAS) and have been featured in media outlets (New York Times, The Guardian, and others). Our track record includes many projects in infectious diseases that have translated into policy change and practice, including in the fields of neglected tropical disease and HIV. We work closely with policy organizations like the World Health Organization and the California Department of Public Health to ensure our research translates to improvements in human health.

We are recruiting for one part-time student research position who is interested in working on computational public health research related to infectious diseases. The project will focus on developing computational models to improve public health control of infectious diseases, including COVID-19.

-Developing study protocol and statistical design
-Data cleaning
-Computer coding and statistical analysis
-Mathematical modeling of infectious diseases
-Data visualization
-Oral and visual presentation
-Meetings with research team and collaborators
-Preparation of peer-reviewed manuscripts

Qualifications: • Enrolled in undergraduate program in engineering, statistics, epidemiology, computer science, or related field (required).

• Programming skills in at least one language, e.g. R, MATLAB, Python (required).

• Experience in quantitative skills of data science and statistics (required), and simulation (preferred).

• Excellent communication skills (required).

• Knowledge of epidemiology and population health measurement (preferred).

• Commitment for at least one year (preferred).

Weekly Hours: 12 or more hours

Off-Campus Research Site: UCSF

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