1999: Ph.D. in Evolution, Ecology, and Population Biology, Washington
University in St. Louis
1993: B.A. in Chemistry, Washington University in St. Louis
1993: B.A. in Math, Washington University in St. Louis
Theoretical population genetics
Simulation and modeling of evolutionary and ecological processes
Evolution and epidemiology of infectious diseases
The focus of my postdoctoral work with BEDROCK is
to develop curricular materials and software for bioinformatics educators.
I am currently compiling a problem
space for a published study of HIV evolution from my Ph.D. dissertation.
The problem space combines background information, sequence and immunological
data, links to online software tools, and other materials. Students are
encouraged to explore this data, design their own research questions, conduct
analyses, interpret the results, and present their findings for peer discussion.
A large component of a national dissemination project like BEDROCK involves
presenting at workshops and conferences around
the country. BEDROCK itself holds six such workshops a year to support
faculty interested in exploring new ways of teaching bioinformatics, in
addition to speaking at similar conferences sponsored by other organizations.
(See the BEDROCK calendar for a list of past and future workshops.) At these meetings, we also present some simple software we have developed
for introducing students to phylogenetics and bioinformatics; see the section “Excel Tools” below for more details.
In the fall of 2003, I co-taught a calculus course in conjunction with
Bruce Atwood of the math department. We employed equations, graphs, mathematical
models, and data from biology to help students develop a broader understanding
of calculus and its applications.
I have developed a number of simple Excel tools for introducing students to bioinformatic concepts such as phylogenetic reconstruction and split decomposition. I am in the process of developing more advanced and interactive models of population growth, epidemiology, phylogeography, and population genetics. Click on the link above to view or download these tools and their documentation.
The BioQUEST Curriculum Consortium actively supports educators interested
in the reform of undergraduate biology and engages in the collaborative
development of curricula. We offer the following resources: The BioQUEST
Library, BQ Notes, The BioQUEST Website, publications by project staff
and participants, workshops and presentations for institutions and organizations,
and support of an extended BioQUEST community. We encourage the use of
simulations, databases, and tools to construct learning environments where
students are able to engage in activities like those of practicing scientists.
Count! for a collection of course activities based on these principles.
Bioinformatics is the rapidly growing science of analyzing electronically
stored and distributed biological data using computer-based tools. The accumulation
of vast, complex genomic data sets enables us to formulate and test evolutionary
hypotheses in a variety of fields such as conservation, medicine, agriculture,
and forensics. BEDROCK (Bioinformatics Education Dissemination:
Reaching Out, Connecting, and Knitting together)
is an NSF-funded project aimed at integrating bioinformatics throughout
the undergraduate biology curriculum, using an inquiry-based approach in
which students explore and analyze actual data in a way that recreates the
experience of conducting research.
September 2003 - August 2004: Adjunct Assistant Professor, Department of Biology, Beloit College
February 2003 - August 2004: Bioinformatics Research Associate, BioQUEST Curriculum Consortium, Beloit College
March 2000 - January 2003: Postdoctoral Fellow, Otago University (Dunedin,
New Zealand), Zoology
at Workshops and Conferences
October 2003 Conservation and invasive species: a case study on salt cedar in the American West. Bioinformatics in Biology Education: Working with Sequence, Structure, and Function, Cornell Theory Center, Cornell University, Ithaca, NY.
July 2003 Construction and analysis of phylogenetic trees from multiple sequence alignments and pairwise distances. Reading the Book of Life: How Bioinformatics Makes Sense of Molecular Messages. Mathematical Association of America Short Course Series, University of Colorado, Boulder, CO.
June 2003 Computational Tools for Teaching Bioinformatics.
Bio2010: Computational Solutions to Biological Problems, Washington University
School of Medicine, St. Louis, MO.
June 2003 Studying HIV evolution within and between patients.
Bridges to the Future Annual Program Meeting (American Society for Biochemistry
and Molecular Biology), Tahoe, CA.
May 2003 Evolutionary Bioinformatics Education: A BioQUEST Curriculum
Consortium Approach (an NSF Chautauqua short course), Clark Atlanta University,
April 2003 Bioinformatics in Biology Education: Working with Sequence,
Structure, and Function, University of Vermont College of Medicine, Burlington,
June 2002 Control of Gene Expression? A Population Genetic Model
for the Evolution of Genomic Imprinting. Annual Meting of the Society
for the Study of Evolution, University of Illinois at Urbana-Champaign.
June 2001 An Evolutionary Genetic Model of the Ovarian Time-Bomb
Hypothesis for the Evolution of Genomic Imprinting. Annual Meting
of the Society for the Study of Evolution, University of Tennessee at
December 2000 Patterns of within-host HIV-1 evolution and their
association with rates of disease progression. Evolutionary Ecology
Symposium, University of Otago, Dunedin, New Zealand.
1999 Within-Host Evolution of HIV. Joint Retreat in Ecology,
Evolution, and Systematics, Missouri Botanical Garden, MO.
June 1998 Patterns of HIV Evolution and Disease Progression.
Annual Meeting of the Society for the Study of Evolution; Vancouver, BC,
Templeton, A. R., R. A. Reichert, A. E. Weisstein, X.-F. Yu, and R. B. Markham. “Selection in context: Patterns of natural selection in the glycoprotein 120 region of HIV-1 within infected individuals.” Submitted to Genetics.
Weisstein, A. E. 2003. "A Plague on Both Houses: Modeling Viral Infection
to Control a Pest Outbreak." Pages 285-294 in Microbes Count!
(J.R. Jungck., M. F. Fass, and E. D. Stanley, eds.). Rome, N.Y.: American
Society for Microbiology Press.
Donovan, S., and A. E. Weisstein. 2003. "Exploring HIV Evolution:
An Opportunity for Research." Pages 137-148 in Microbes Count!
(J.R. Jungck, M. F. Fass, and E. D. Stanley, eds.). Rome, N.Y.: American
Society for Microbiology Press.
Jungck, J. R., T. Johnson, A. E. Weisstein, and J. Tusin. 2003. "Modeling
More Mold." Pages 33-39 in Microbes Count! (J.R. Jungck, M.
F. Fass, and E. D. Stanley, eds.). Rome, N.Y.: American Society for Microbiology
Weisstein, A.E., and H. G. Spencer. 2003. “The evolution of genomic imprinting via variance minimization: an evolutionary genetic model.” Genetics 165: 205-222.
Spencer, H. G., M. W. Feldman, A. G. Clark, and A. E. Weisstein. "The
effect of genetic conflict on genomic imprinting and modification of expression
at a sex-linked locus." Submitted to Genetics.
Weisstein, A. E., M. W. Feldman, and H. G. Spencer. 2002. "Evolutionary
genetic models of the ovarian time-bomb hypothesis for the evolution of
genomic imprinting." Genetics 162: 425-439.
Carneiro, M., X. -F. Yu, C. Lyles, A. Templeton, A. E. Weisstein, et al.
1999. "The effect of drug-injection behavior on genetic evolution
of HIV-1." J. Infect. Dis. 180: 1025-1032.
Markham, R. B., W. Wang, A. E. Weisstein, Z. Wang, A. Munoz, et al. 1998. "Patterns of HIV-1 evolution in individuals with differing rates
of CD4 T cell decline." Proc. Nat. Acad. Sci. USA 95: 12568-12573.
September 9, 2005