HRP SU18-3: Research Opportunity with Dr. Naveed Hussain

Project Mentor

Dr. Naveed Hussain
Pediatrics, Division of Neonatology

Undergraduate Research Opportunity Description

Project Description Necrotizing enterocolitis is a devastating condition that affects premature infants. We are studying the epidemiology and risk factors associated with this condition using databases of NICU patients collected over the past 25 years at UConn Health and Connecticut Children’s Medical Center. Our aim is to develop prediction algorithms to find early warning signs (Neonatal Early Warning Signs-NEWS) that can be used clinically in identifying cases of NEC early enough to prevent their devastating consequences.
Project Direction The student will help in mining data from clinical databases and develop risk estimates for clinical variables. Subsequently, we will develop and test algorithms for NEWS in the clinical arena.
Mentorship and Supervision Will work with the student as indicated below:

  1. 1. Didactic sessions to help student understand the key concepts involved in the research
  2. 2. Supervised sessions to help student with key principles involved in data-mining from NICU databases at UConn and CCMC
  3. 3. Supervised sessions to help with data auditing in Excel
  4. 4. Supervised sessions to help student with graphing and tabulating data
  5. 5. Supervised sessions to help student develop risk algorithms
  6. 6. Supervised sessions to help develop prospective research plans to test algorithms in the NICU
Student Qualifications Experience with spreadsheets, databases and basic statistics. Strong background in biology or medicine. Minimum GPA: 3.0. Minimum Science GPA: 3.0.
Summer Schedule Options Research Dates: May 29 – August 3, 2018
Schedule: M-F, 8am-5pm
Project Continuation Fall 2018, Spring 2019
Academic Year Time Commitment 9 hours/week
Possible Thesis Project Yes

Application

Submit an online application for this research opportunity using the form below. The application deadline is Friday, January 26, 2018.

This application requires a cover letter, a resume or CV, an unofficial transcript, a brief statement of research interests, and a brief statement of career interests.