Personal tools
You are here: Home Seminar Mathematical Biology Seminar, 2006-2007 Mathematical Biology Seminar, 2006 - 2007
Document Actions

Mathematical Biology Seminar, 2006 - 2007

The Fall 2006 Schedule for the Mathematical Biology Seminar.

Truman's Mathematical Biology Program sponsors a biweekly seminar series that hosts local and visiting speakers that will talk on topics that fall at or near the intersection of the mathematical and life sciences. All meetings are open to any students, staff, faculty, and community members who are interested in this topic. All meetings are at 3:30pm in Magruder Hall 2007.

The calendar of events for this semester follows.

7 September
An organizational meeting for the seminar. All are welcome to help shape the calendar.
21 September
Prof. Jason Miller (Mathematics) will give an orientation to the Mathematical Biology program at Truman that is appropriate for new students and for all faculty and staff.
5 October
Dr. Matt Schuette, Asst Prof of Mathematics, William Jewell College. Modeling Varicella-Zoster Transmission
19 October
Dr. John Ma, Biology. Gravity Sensing in Plants: How Math & Computer Science Can Help to Solve the Mystery.
2 November
Two research team reports
  1. Dr. Dean DeCock (Statistics) and Dr. Jon Gering (Biology) will describe a research project for which they will be soliciting students. This teams will be supported by the program's "Research-focused Learning Communities" grant.
  2. Dr. Phil Ryan (Mathematics) and Dr. Laura Fielden (Biology), along with their students Bach Ha (Mathematics & Computer Science) and Matthew Heimann (Biology) will report on the results of their team project concerning tick physiology.
16 November
Amelia Talor (Assistant Professor of Mathematics Colorado College) - From Fish to Polynomials
The amount and types of data available to biologists is booming. In response, mathematicians, statisticians, and computer scientists are collaborating with biologists to develop novel techniques for data analysis. In this talk I will describe a problem from fish evolutionary genetics research and discuss how polynomial ring theory can be used to suggest solutions to a difficult problem.
30 November
Dr. Brad Barbazuk, Assistant Member and Principal Investigator, Donald Danforth Plant Science Center. Applying the 454 Sequencing System to the Maize Transcriptome.


Spring 2007 Dates

18 January
Two presentations:
  1. Phil Ryan - A short report on what he learned at a workshop on creating material for courses in mathematical biology.
  2. Amber Johnson - A short report on what she learned at this summer's BioQuest workshop on "Exploring Large Data Sets"
1 February
Dr. Brad Barbazuk, Assistant Member and Principal Investigator, Donald Danforth Plant Science Center. Applying the 454 Sequencing System to the Maize Transcriptome. (Rescheduled from November.)
15 February
Buzz Scherr, Professor of Law, Franklin Pierce Law Center - Human genomics, law, and ethics.
1 March
Dr. Scott Thatcher (Mathematics) and his students George Wang (Mathematics & Computer Science) and Meredith Mertz (Biology) will report on the results of their team project concerning pollen flight dynamics.
22 March
Dr. Peter Rolnick (Physics) will give a presentation on Ginzburg's and Colyvan's theories on accelerated models of population growth.
3 April
Student Research Conference -- many mathematical biology students are presenting
5 April
Dwight Krehbiel (Psychology, Bethel College). “The National Science Digital Library: Finding and Submitting Resources for Teaching, Learning, and Research.” The seminar will meet in the MG 2005 computer lab.
19 April

Powered by Plone

This site conforms to the following standards:

Section 508 WCAG Valid XHTML Valid CSS Usable in any browser
This material is based upon work supported by the National Science Foundation's Interdisciplinary Training for Undergraduates in Biology and Mathematics program under Grant No. 0436348, "Research-focused Learning Communities in Mathematical Biology," and Grant No. 0337769, "Mathematical Biology Initiative." Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.