This project will generate polygenic risk score for obesity for ~ 250 subjects using 2 different datasets using existing R and python based tools. The student will also need to be familiar with unix platform. An association of polygenic risk score with eating behaviors will be tested.

This project is eligible for a stipend, with matching funds from the faculty advisor and the Data Science Institute. This is not a guarantee of payment, and the total amount is subject to available funding.

Faculty Advisor

  • Professor: Vidhu Thaker
  • Center/Lab: Russ Berrie Diabetes Center
  • Location: RB-6/PH-17
  • My research is focused on genetic and epigenetic causes of obesity in children and its consequences with emphasis on those from underrepresented minorities

Project Timeline

  • Earliest starting date: 4/1/2023
  • End date: 9/1/2023
  • Number of hours per week of research expected during Spring-Summer 2023: ~20

Candidate requirements

  • Skill sets: fluency in R/Python/unix
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes
  • Additional comments: Eagerness to learn new skills, willing to take on ownership of project.