Valeri Vasquez is a third year PhD candidate in the Energy and Resources Group. She has a Designated Emphasis in Computational Data Science and Engineering, and is a Moore/Sloan Fellow at the Berkeley Institute for Data Science.
Valeri conducts most of her work in the Division of Epidemiology and Biostatistics under the School of Public Health. She develops and applies computational models to examine the environmental drivers and economic impacts of infectious diseases. Valeri is currently studying the use of genetic-based interventions, including CRISPR gene drive systems, to control mosquito-borne illnesses such as malaria and dengue under shifting ecological conditions.
Prior to graduate school, Valeri focused on international and domestic climate change issues at the U.S. Department of State, the Center for American Progress, and the White House Council on Environmental Quality. Valeri holds an MS from the University of California Berkeley and a BA from the College of William and Mary. Her doctoral and masters work has been generously funded by fellowships and grants from ACM SIGHPC/Intel, BIDS, ERG, and an NSF NRT, in addition to GSR and GSI positions.
- Field trails of gene drive mosquitoes: Lessons from releases of genetically sterile males and Wolbachia-infected mosquitoes
- Translating gene drive science to promote linguistic diversity in community and stakeholder engagement
- Human health and the social cost of carbon: A primer and a call to action
- Mimi-PAGE, an open-source implementation of the PAGE09 integrated assessment model