Pranav Pandit
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Assistant Professor of Veterinary Epidemiology
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Recent Grants
Grant: Close
Climate-driven models to predict future risk of arenavirus spillover
Open Date: 2022-11-02
Close Date: 2025-11-01
Positions (2)
Pranav Pandit
University of California, Davis
3 months ago
UC Davis School of Veterinary Medicine is hiring a Postdoctoral Scholar in New World Screwworm Ecology and Surveillance through the EpiPandit Lab. This interdisciplinary opportunity sits at the intersection of veterinary science , infectious disease epidemiology , disease ecology , wildlife and livestock surveillance , spatial risk modeling , forecasting , artificial intelligence , machine learning , data science , and geospatial analysis . The project aims to develop next-generation surveillance systems for New World Screwworm and other emerging threats at the wildlife–livestock interface, with collaborators across academia, government, conservation, and technology sectors. The successful candidate should have strong quantitative skills and a strong interest in disease surveillance, ecology, data science, AI, geospatial analysis, and emerging infectious diseases. The role is based in person at University of California, Davis . Funding is provided for two years , with the possibility of extension. Applications received by 2026-07-10 will receive full consideration. For questions, contact Pranav Pandit at [email protected] . Please review the attached position announcement for additional details.
3 months ago
Pranav Pandit
University of California, Davis
4 days ago
Pranav Pandit, Assistant Professor of Veterinary Epidemiology at the University of California, Davis, is hiring two Postdoctoral Scholars in the EpiPandit Lab. The positions focus on climate-sensitive infectious disease modeling for parasites, vectors, and zoonotic pathogens, plus translating models into decision-support tools for veterinarians and animal health/environmental agencies. One project is on climate- and risk-based decision support for companion animal parasite control with Prof. Jane Sykes; the other is on ecological niche modeling of emerging diseases, including New World Screwworm, with state agency and private-sector partners. Desired strengths include spatiotemporal and climate data modeling , AI/ML (including GeoFMs), Bayesian spatial statistics , ecological niche or vector models, and building user-facing tools such as Shiny , Streamlit , or web/mobile apps. This is a two-year, full-time postdoctoral appointment, in person in Davis, California, United States , with the possibility of extension depending on funding. The role follows the UC Postdoctoral Scholar salary scale and includes full UC benefits. Deadline: October 23, 2026. How to apply: Email a single PDF to [email protected] with the specified subject line in the post.
4 days ago
Articles (10)
Year:
2024
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2023
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2023
Year:
2023
Peninsular bighorn sheep ( Ovis canadensis nelsoni ) are found exclusively in Southern California and Baja Mexico. They are federally endangered due to multiple threats, including introduced infectious disease. From 1981 to 2017, we conducted surveillance for 16 pathogens and estimated population sizes, adult survival, and lamb survival. We used mixed effects regression models to assess disease patterns at the individual and population levels. Pathogen infection/exposure prevalence varied both spatially and temporally. Our findings indicate that the primary predictor of individual pathogen infection/exposure was the region in which an animal was captured, implying that transmission is driven by local ecological or behavioral factors. Higher Mycoplasma ovipneumoniae seropositivity was associated with lower lamb survival, consistent with lambs having high rates of pneumonia‐associated mortality, which may be slowing population recovery. There was no association between M. ovipneumoniae and adult survival. Adult survival was positively associated with population size and parainfluenza‐3 virus seroprevalence in the same year, and orf virus seroprevalence in the previous year. Peninsular bighorn sheep are recovering from small population sizes in a habitat of environmental extremes, compounded by infectious disease. Our research can help inform future pathogen surveillance and population monitoring for the long‐term conservation of this population.
Year:
2022
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2022
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2022
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2022
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2022
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2022
Collaborators (5)
Monica Aleman
-
Jonna Mazet
University of California
Christine K. Johnson
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Ariful Islam
Deakin University
Holly Ernest
Professor Emeritus (retired)
University of Wyoming
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