• Skip to primary navigation
  • Skip to main content

Aggie Research Programs

Texas A&M University

  • Research Leadership
  • Undergraduates
  • Project List
  • Team Leader Resources
  • Contacts
  • Calendar
  • FAQs
  • Show Search
Hide Search

Fall 2018 – The Role of Renal Control and Systemic Resistance in Hemodynamic Regulation

Affiliations:
Project Leader:
Braden Sims
bradensims@tamu.edu
Biomedical Sciences
Faculty Mentor:
Dr. Christopher M. Quick, Ph.D.
Meeting Times:
TR 11:15-12:25; flexible evening hours
Team Size:
2 (Team Full)
Open Spots: 0
Special Opportunities:
By acting as a valuable team member, you will have the opportunity to be published as a co-author in academic abstracts, posters, and manuscripts (which is very beneficial for graduate and/or medical school), additional exposure to qualified faculty capable of writing letters of recommendation, as well as practical and exciting experience working in a research team.
Team Needs:
To be a contributing member to our team, an individual must be able to read and comprehend academic literature, communicate and articulate ideas effectively to the remainder of the team, utilize creative problem solving, understand basic mathematical modeling programming (such as Wolfgram Mathematica) and ask meaningful questions to direct future research. In addition to these valued qualities, our team is looking for an individual with a coding and/or engineering background to address mathematical problems.
Description:
While the effects of hypertension have clearly been observed as a predisposition for many illnesses and diseases, the autoregulatory processes which control systemic autoregulation are not clearly understood. Our team is working to create a solution to this problem by creating a simple algebraic mathematical model that is capable of identifying the most influential hemodynamic parameters, crucial systemic interactions, and to identify possible mechanisms that have not yet been identified. Research is conducted through identifying, reading and analyzing previously established and credible research papers, by translating known knowledge and assumptions into a simplified algebraic mathematical model, and by analyzing the resulting conclusions to support valid and novel conclusions.

Written by:
Jennie Lamb
Published on:
February 9, 2020

Categories: FullTags: Fall 2018

Footer

Texas A&M University  |  Web Accessibility  |  Site Policies  |  Site Support

© 2021, Website by CVMBS Communications, Texas A&M College of Veterinary Medicine & Biomedical Sciences