Christopher Leary
SUNY Distinguished Teaching Professor of MathematicsChris Leary has been a member of the Geneseo faculty since 1992.
Office Hours: Spring 2019
 M: 10:00a  11:00a
 Tu: 11:00a  12:00p
 W: 1:30p 2:30p
 F: 11:00a  12:00p
 or by appointment
Curriculum Vitae
Education
B.A., Oberlin College; 1979
Ph.D., University of Michigan; 1985
Employment
SUNY Geneseo 1992current
United States Agency for International Development (20172018)
Eberhard Karls Universität Tübingen, Germany (2005–2006)
The University of Calgary (1998)
Stetson University (19911992)
Oberlin College (19851991)
Publications
A Friendly Introduction to Mathematical Logic (2nd Edition) (with Lars Kristiansen), (2015), Milne Library, Geneseo NY. Available at http://minerva.geneseo.edu/afriendlyintroductiontomathematicallogi…
Fractals, average distance, and the Cantor set (with Dennis Ruppe and Gregg Hartvigsen), Fractals, vol. 18, no. 3 (2010), pp. 327341.
Component averages in subgraphs of circulantlike graphs (with Jaqueline M. Dresch, Niels C. Hansen, Gregg Hartvigsen and Anthony J. Macula), Bulletin of the Institute for Combinatorics and its Application, vol. 51 (2007), pp. 5568.
Tuning Degree Distributions: Departing from scalefree networks (with HansPeter Duerr, Markus Schwehm and Martin Eichner), Physica A: Statistical Mechanics and its Applications, vol. 382 (2007), pp. 731?738.
The impact of contact structure on infectious disease control: influenza and antiviral agents. (with HansPeter Duerr, Markus Schwehm, SJ DeVlas and Martin Eichner), Epidemiology and Infection, vol. 135, no. 07, (2007), pp.11241132.
Network structure, population size, and vaccination strategy and effort interact to affect the dynamics of influenza epidemics (with Gregg Hartvigsen, Jacqueline Dresch, Amy Zielinski, and Anthony Macula), The Journal of Theoretical Biology, vol. 246 (2007), pp. 205?215.
High infection rates at low transmission potentials in West African onchocerciasis (with HansPeter Duerr and Martin Eichner), International Journal for Parasitology, vol. 36, no. 13 (2006), pp. 13671372.
Filter games on omega and the dual ideal (with Claude Laflamme), Fundamenta Mathematicae, vol. 173, no. 2 (2002), pp. 159?173.
The structure of pleasant ideals. Notre Dame Journal of Formal Logic. 1994;35(2):29298.
Pleasant ideals. Notre Dame Journal of Formal Logic. 1991;32(4):61217.
Patching ideal families on Pkappalambda. Archive for Mathematical Logic. 1990;30(4):26975.
Patching ideal families and enforcing reflection. J. Symbolic Logic. 1989; 54: 26–37.
Latin square achievement games (with Frank Harary). J. Recreational Mathematics. 19831984; 16(4): 241–246.
Research Interests
My research training was in the areas of set theory and logic. In particular, I have published papers dealing with infinitary combinatorics and large cardinals. More recently I have become interested in modeling and applications of mathematics to biology. I have also been fortunate enough to work with members of the Institut für Medizinische Biometrie at the University of Tübingen.
Classes

BIOL 340: Modeling Biological SystemLab
Computer and mathematical models are increasingly important tools used to understand complex biological systems. Under the guidance of biology and mathematics professors, students will work both individually and in groups to develop, analyze and present models of various biological systems ranging from disease models and diffusion processes to ecosystem dynamics. The course involves two hours of lectures and two hour computerbased laboratory. This course does not count as a Biology elective laboratory. (Cross listed with MATH 340.) Prerequisites: Proficiency in Basic Requirement. MATH 222 and at least one of the following: BIOL 203, BIOL 222, MATH 223 or permission of the instructor. Offered every spring

BIOL 340: Modeling Biological SystemLec
Computer and mathematical models are increasingly important tools used to understand complex biological systems. Under the guidance of biology and mathematics professors, students will work both individually and in groups to develop, analyze and present models of various biological systems ranging from disease models and diffusion processes to ecosystem dynamics. The course involves two hours of lectures and two hour computerbased laboratory. This course does not count as a Biology elective laboratory. (Cross listed with MATH 340.) Prerequisites: Proficiency in Basic Requirement. MATH 222 and at least one of the following: BIOL 203, BIOL 222, MATH 223 or permission of the instructor. Offered every spring

BIOL 380: BioSem:Biomath
A discussion course dealing with a selected area of Biology and based on current literature. This course may be repeated for up to two hours credit toward the major. Restricted to majors. Prerequisites: Proficiency in Basic Requirement. BIOL 203 and BIOL 300.

MATH 233: Linear Algebra I
Study of matrices, matrix operations, and systems of linear equations, with an introduction to vector spaces and linear transformations. Elementary applications of linear algebra are included. Prerequisites: MATH 222 or MATH 228 or permission of instructor. Offered every semester

MATH 324: Real Analysis I
A study of the underlying theory of elementary calculus. Topics include the structure and properties of the real numbers, sequences, functions, limits, continuity, the derivative, the Riemann integral, and Taylor's theorems. Prerequisites: MATH 223 and MATH 239. Offered every semester

MATH 340: Modeling Biological SystemLab
Computer and mathematical models are increasingly important tools used to understand complex biological systems. Under the guidance of biology and mathematics professors, students will work both individually and in groups to develop, analyze and present models of various biological systems ranging from disease models and diffusion processes to ecosystem dynamics. The course involves two hours of lectures and a two hour computerbased laboratory. (Cross listed with BIOL 340.) Prerequisites: MATH 222 and at least one of the following: BIOL 203, BIOL 222, MATH 223 or permission of the instructor. Offered spring, even years and when demand is sufficient

MATH 340: Modeling Biological SystemLec
Computer and mathematical models are increasingly important tools used to understand complex biological systems. Under the guidance of biology and mathematics professors, students will work both individually and in groups to develop, analyze and present models of various biological systems ranging from disease models and diffusion processes to ecosystem dynamics. The course involves two hours of lectures and a two hour computerbased laboratory. (Cross listed with BIOL 340.) Prerequisites: MATH 222 and at least one of the following: BIOL 203, BIOL 222, MATH 223 or permission of the instructor. Offered spring, even years and when demand is sufficient

MATH 383: Biomathematics Seminar
A discussion course dealing with selected areas of biomathematics based on current literature and/or guest speakers. Prerequisites: Permission of the instructor. May be taken multiple times for credit with the permission of instructor. Offered spring, even years