Skip to main content

Background Image for Header:

  • Home
  • What's New
  • ICompBio: Research Experience for Undergraduates in Interdisciplinary Computational Biology The University of Tennessee at Chattanooga

ICompBio: Research Experience for Undergraduates in Interdisciplinary Computational Biology The University of Tennessee at Chattanooga

ICompBio: Research Experience for Undergraduates in Interdisciplinary Computational Biology The University of Tennessee at Chattanooga

This iCompBio REU focuses on interdisciplinary computational biology training to undergraduates in STEM majors. The iCompBio REU will take place from May 19 - July 27, 2020.

The 10-week iCompBio REU focuses on interdisciplinary computational biology training to undergraduates in science, technology, engineering, math, and other related fields. Please look through the potential research projects and then choose your preferences of the potential research topics.

  • $5,750 stipend + housing and meal plan
  • Travel allowance up to $500
  • Inter-disciplinary training in computer science and biology
  • Coding boot camp.
  • Diverse range of research topics.
  • Chattanooga is a great outdoor city

A one-week computing bootcamp will be provided to teach students essential data science using R, and advanced data processing and deep learning methods using Python. Each student will be jointly mentored by a computer science mentor and a biology mentor. The computing training includes coding, modeling, simulation, deep learning neural networks, computer vision, parallel computing, statistics, data visualization, and mobile App development.

Application Process

Student application includes an application form, transcripts, a personal statement, a resume, preferences of research topics, and at least 2 letters of recommendations. All application materials will be upload through an online-application form. Student applications will be reviewed by a team of faculty research mentors. (Please note that the application form is a Google-form whichl requires a Gmail account to complete). 

APPLY

Contact Information

For more information about the program, please email: icompbio@utc.edu

PI, Dr. Hong Qin 
Co-PI Dr. Soubantika Palchoudhury

https://www.utc.edu/faculty/hong-qin/icompbio.php