|
Personal Information
|
|
§§
Curriculum Vitae
|
|
Research Related
|
|
§§
Research Interests
|
|
§§
Publication List
|
|
§§
NSF Highlight of our work
|
|
Teaching Related
|
|
§§
Teaching Statement
|
|
§§
Proposed Courses
|
|
§§
MBI Summer Program (XPP)
|
|
§§
Math Ecology (Mathematica)
|
|
§§
Programming (C++)
|
|
§§
Calculus for Life Sciences (Project)
|
|
§§
Quantitative Plant Physiology
|
§§
Cover-ups, Controversies, and
Conflicts in Mathematics (and Flyer)
|
|
§§
Teaching History
|
|
Contact Information
|
Dr. Andrew Nevai
Mathematical Biosciences Institute (MBI)
The Ohio State University (OSU)
1735 Neil Ave, Jennings Hall, 3rd Floor
Columbus, OH 43210
Phone: (614) 688.3198
E-mail: anevai.at.mbi.osu.edu
|
|
§§
The Society for Mathematical Biology
|
|
§§
Register of Ecological Models
|
|
§§
SORTIE (forest simulator)
|
|
§§
M.E.M. Botanical Garden (UCLA)
|
|
§§
Animal Diversity Web (Michigan)
|
|
§§
Astronony Picture of the Day
|
|
§§
5-Club Backcrosses Anyone?
|
|
|
|
|
Playful
|
Hiking
|
|
|
|
Psycho
|
Thoughtful
|
Research Summary
|
I use mathematical approaches to address problems that arise in biology.
Recently, my work has centered on three main areas of theoretical
ecology: competition between species (plant
competition for sunlight, interactions at multiple spatial scales,
directed movement along resource gradients, and structured resources),
the spatial spread of epidemic diseases
(rabies and others), and the evolution of
optimal choice (state-based decision-making in foraging gray jays,
the honeybee nest-site selection process, and animal-mediated seed
dispersal). I am also interested in predator-prey and mutualistic
interactions; species persistence and permanence within ecological
communities; the dynamics of spatially (or otherwise) structured
populations; classical and social foraging theory; the behavior
and physiology of animals and plants; and formulating ecological models
that make use of mechanistic reasoning and principles. Non-research
academic interests include the mathematics of juggling; Galois theory;
algorithms and computational mathematics; numerical analysis; evolution
by natural selection; species taxonomy; and the history and philosophy
of mathematics and science.
|
|