Ecology, Evolution and Genomics
of Wildlife Diseases





About

Photo of Nicole Nova.

Nicole Nova is a PhD candidate in Ecology and Evolutionary Biology at Stanford University. She is co-advised by Dr. Erin Mordecai and Dr. Dmitri Petrov. Nicole combines mathematical modeling with empirical work to study the ecology and evolution of infectious diseases in wildlife, and applies theory and approaches from population dynamics, population genetics, eco-evolutionary dynamics, and comparative genomics to study viral adaptation and cross-species transmission (i.e., spillover). She also studies climate drivers of infectious disease dynamics, and environmental predictors of pathogen sharing across taxa. Nicole aims to promote health, biodiversity, and wildlife conservation. Nicole grew up next to Tyresta National Park in Sweden, and she enjoys spending time in nature (hiking, canoeing, swimming, and horseback riding).

Résumé/CV

Carnivores

Research

Mosquito.
Detecting Climate Drivers of Disease Transmission Using Empirical Dynamic Modeling

This study uses an empirical dynamic modeling (EDM) approach to detect causality between environmental factors (e.g., temperature and precipitation) and dengue incidence in North America (San Juan, Puerto Rico). Dengue is a mosquito-borne disease and environmental changes may affect mosquito survival, abundance, and thus disease transmission.

Predictors of Pathogen Sharing across Taxa for Surveillance of Spillover to Humans and Endangered Carnivores

This is a project to determine when ecological factors (i.e., geographic host overlap, host behavior, host life history, etc.) become more important for predicting pathogen sharing between various host species than their phylogenetic relatedness (evolutionary factor). Determining predictors of pathogen sharing at various evolutionary scales could be useful for detecting plausible spillover pathways to humans (problem: emerging zoonotic diseases) or to endangered carnivore populations, e.g., tigers, snow leopards, and polar bears (problem: disease-induced extinctions).



Yellowstone wolf.
Origin and Maintenance of Canine Distemper in Yellowstone Wolves

This is a phylogenetic study of a multi-host pathogen, canine distemper virus (CDV), which has caused several outbreaks in the wolf population in Yellowstone National Park since the wolf reintroductions in 1995 and 1996. This study will investigate whether the viral strains that caused the different canine distemper outbreaks are related or not, suggesting either endemic persistence of CDV in Yellowstone reservoir hosts, or new reintroductions of CDV from elsewhere.

Disease Dynamics of Canine Distemper in Alaskan Carnivores and Mesocarnivores: A Phylodynamic Approach

This is a cross-species phylodynamic study of canine distemper virus (CDV) in the Alaskan ecosystem. This study will investigate the relatedness of different CDV strains across different carnivore species (grizzly bears, black bears, wolves, coyotes, and wolverines) and mesocarnivores (Arctic foxes, red foxes, river otters) to predict potential transmission pathways and reservoir host species.








Publications

Peer Review

Leempoel K, Meyer J, Hebert T, Nova N, Hadly EA. Return of an apex predator to a suburban preserve triggers a rapid trophic cascade (submitted).

Hopkins SR, Sokolow SH, De Leo GA, Buck JC, Jones I, Kwong L, LeBoa C, Lund A, MacDonald A, Nova N, Olson SH, Peel AJ, Wood CL, Lafferty KD. Identifying win–wins for people and nature. People and Nature (in review).

Childs ML, Nova N, Colvin J, Mordecai EA. Mosquito and primate ecology predict human risk of yellow fever virus spillover in Brazil. Philosophical Transactions of the Royal Society B (in review). bioRxiv preprint

Sokolow SH, Nova N, Pepin K, Peel AJ, Manlove K, Cross P, Becker D, Plowright R, Pulliam J, McCallum H, De Leo GA. Ecological levers to prevent and manage zoonotic pathogen spillover. Philosophical Transactions of the Royal Society B (in review).

Smith JR, Hendershot JN, Nova N, Daily GC. The biogeography of ecoregions: Descriptive power across regions and taxa. Journal of Biogeography (in review).



Abstract

Van Wert M, Nova N, Horowitz T, Wolfe J. 2008. What does performance on one visual search task tell you about performance on another? Journal of Vision. 8(6):312. doi:10.1167/8.6.312



Book Chapter

Shocket MS, Anderson CB, Caldwell JM, Childs ML, MacDonald AJ, Howard ME, Nova N, Han S, Harris M, Mordecai EA. Environmental drivers of vector-borne diseases. Population Biology of Vector-borne Diseases (in review).



Thesis

Nova N, Alstergren P, Svensson C. 2012. Chronic inflammation and pain: Assessment of c-Fos and ATF-3 as markers of spinal neuronal activity in a pain model of rheumatoid arthritis. MSc Thesis, Karolinska Institutet. PDF











Outreach

Research Science Institute (RSI)

RSI Logo.

RSI is a summer research program for high school students at Massachusetts Institute of Technology (MIT) and co-sponsored by the Center for Excellence in Education (CEE). Nicole attended RSI as a student in 2007 and she worked with Prof. Jeremy Wolfe in the Visual Attention Lab in the Department of Brain and Cognitive Sciences at Harvard Medical School and Brigham and Women's Hospital. She was investigating whether a simple search task (i.e., looking for a green line among red lines) was correlated with the search for objects in the real world, in particular, the search for weapons in airport security (X-ray images of luggage). The work was later published in the Journal of Vision. As an RSI alum, Nicole has been involved with the RSI program for several years and served as the Director of RSI in 2016. For more information, see the CEE Alumni Spotlight press release page (see PDF).



Research Academy for Young Scientists (Rays)

Rays Logo.

Rays is a summer research program for high school students, similar to Research Science Institute (RSI), but located in Sweden and it was founded in 2011. The first couple of years were run by Swedish RSI alumni (including Nicole), before Rays alumni could also hold staff positions. Mentorships are being held at various universities in Stockholm, such as Karolinska Institutet, Stockholm University and the Royal Institute of Technology. After a summer-long internship in a research lab, the Rays students present their projects in the Swedish Museum of Science and Technology.

Background

Photo of Nicole Nova.

In 2012, Nicole earned a degree in dental surgery from Karolinska Institutet in Sweden. As an EU Erasmus Mundus scholar, she also studied at Queen Mary University of London as an exchange student in 2011. Nicole also earned a M.Sc. and she completed her Master's thesis in the Molecular Pain Lab in the Department of Physiology and Pharmacology and the Department of Oral Physiology at Karolinska Institutet. Her thesis was on the pathophysiology of chronic pain in rheumatoid arthritis studied in vivo using a mouse model (more information can be found here).

Nicole also completed a clinical internship in the Department of Head and Neck Surgery at the Medical University of Vienna in Austria in 2010. She worked on several head and neck cancer cases and became interested in the evolution of cancer on a cell population level. That spark of interest led her to the field of evolutionary medicine, and eventually to the broader field of ecology and evolutionary biology.

During her years of clinical work and biomedical research, she became fascinated by mathematical biology and how one could build mathematical models to run in silico experiments (computer simulations), which could replace time-consuming, expensive and/or infeasible empirical studies. She obtained her quantitative foundation by studying electrical engineering at the Royal Institute of Technology in Sweden. On the left, there is a video of a robot that she and a team of engineering students built using Segway technology.

In 2014, Nicole started working in the Michor Lab, Department of Biostatistics and Computational Biology at Dana-Farber/Harvard Cancer Center (Dana-Farber Cancer Institute, Harvard Medical School and Harvard T.H. Chan School of Public Health). She worked on mathematical modeling of cancer development and progression using theories from evolutionary dynamics, population genetics and stochastic processes.

Then, she worked as a Research Associate in the Koelle Research Group in the Department of Biology at Duke University. She formulated a mathematical model to study the development of broadly neutralizing antibodies (BnAbs) in chronic HIV-infections. Understanding the co-evolution between the potent BnAbs and HIV could potentially provide useful insights for developing effective HIV vaccines.

Contact

Email

nicole.nova@stanford.edu

Office

Gilbert Hall, Room 404
Department of Biology
Stanford University
371 Serra Mall
Stanford, CA 94305

Website

nicolenova.com