Nicole Nova

PhD Student
Stanford University
Department of Biology


Photo of Nicole Nova.
Nicole Nova

PhD Student in Biology, Stanford University


Nicole Nova is a graduate student in the Ecology and Evolutionary Biology track of the Biology PhD program at Stanford University. Nicole is a member of the Mordecai Lab and the Petrov Lab, and she combines mathematical modeling with empirical work to study the ecology and evolution of infectious diseases and rapid adaptation of mammalian hosts. Nicole is generally interested in the ecology and evolution of infectious diseases, climate change and infectious disease dynamics, eco-evolutionary dynamics, population genetics, comparative genomics, rapid adaptation, biodiversity and conservation of wildlife – especially large carnivores.


Detecting Environmental Drivers of Disease Transmission Using Empirical Dynamical Modeling

This study uses the empirical dynamical modeling (EDM) approach to detect causality between environmental factors (e.g., temperature, precipitation and vegetation) and dengue incidence in Central and South America. Dengue is a mosquito-borne disease and environmental changes may affect mosquito behavior and abundance, and thus, disease transmission.
Collaborators: George Sugihara, UC San Diego; Martin Rypdal, UiT The Arctic University of Norway

Origin and Maintenance of Canine Distemper Virus in Yellowstone Carnivores

This is a phylogenetic study of a multi-host pathogen, canine distemper virus (CDV), to investigate how the pathogen is evolving in wildlife, especially in Yellowstone carnivores.
Collaborators: Ellen Brandell, Penn State University; Dan Stahler & Doug Smith, Yellowstone National Park


Nova N, Koelle K. Virological and immunological factors impacting the development of antibody breadth during HIV infection. [Manuscript in preparation]

Nova N, Alstergren P, Svensson C. Chronic inflammation and pain – assessment of c-Fos and ATF-3 as markers of spinal neuronal activity in a pain model of rheumatoid arthritis. Master’s thesis, Karolinska Institutet, June 2012. Access:

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

Invited Talks

Mathematical Modeling in the Biosciences, 30th Jubilee Symposium of Research Program in Biomedicine, Stockholm, Sweden. June 2015.

Mathematical Modeling of Cancer and Infectious Diseases, NSF REU research program in Mathematical Biology, University of North Carolina at Greensboro (UNCG), Greensboro, NC. June 2015.

Poster Presentations

Nova N, Shocket M, MacDonald A, Childs M, Rypdal M, Sugihara G, Mordecai E. Environmental factors driving dengue incidence in Central and South America. Ecology and Evolution of Infectious Diseases (EEID) Conference. June 2017, University of California, Santa Barbara, CA.

Nova N, Koelle K. Modeling the development of neutralizing antibody breadth in chronic-stage HIV infection. Triangle Center for Evolutionary Medicine Symposium. November 2015, The Solution Center in Research Triangle Park, Durham, NC.

Mideus G, Nova N, Härenstam-Nielsen L, Enqvist A, Tomaszuk M, Rojas C. Autonomous Robot Accomplishing Standstill Balance and Forward Motion Using Segway Technology. Annual Electrical Engineering Symposium. May 2013, Royal Institute of Technology, Stockholm, Sweden.

Nova N, Bas D, Svensson K. Assessment of c-Fos as a marker of spinal neuronal activity in a pain model of rheumatoid arthritis. Medical Sciences Symposium, August 2010, Karolinska Institutet, Stockholm, Sweden.

Nova N, Robertson K. Activation of Liver X Receptor affects the function and differentiation of osteoclasts. Biomedical Sciences Symposium, August 2006, Karolinska Institutet, Stockholm, Sweden.


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.


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.




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