Laboratory Learning Program 2024 - Modeling disease dysregulation using large genomic datasets (LSI-02)

Research Opportunity Number: LSI-02

Project Title: Modeling disease dysregulation using large genomic datasets

Project Summary: A key challenge in biomedical science is to understand how the genome, common to all cells in the body, codes for different cell types with broadly diverse functions that change through development, aging, and disease. The Troyanskaya lab uses statistical and machine learning approaches to tackle modeling of genome function and mutation impacts, as well as developing genome-wide models for how genes work together in biological processes and pathways in different cell contexts. Summer students will work with a mentor to develop and apply approaches to understand the molecular underpinnings of cell-type diversity and the impact of genetic variants in specific tissue, cell-type, and disease contexts.

Student Roles and Responsibilities: Show up on time, be courteous and respectful of all lab members, ask questions - always!, Come to the lab wanting to learn and not be afraid to ask questions, and in turn, share information with lab mates. Students are expected to make good faith efforts at their projects. No prior experience is necessary, but an open inquisitive mind and active communication with mentors and lab members are essential.

Minimal knowledge or better of Python or R is nice to have but not required; applicants with no experience will be considered.

Additional Considerations:  ~30~40 h/wk

Department/Institute:  Lewis-Sigler Institute for Integrative Genomics

Faculty Sponsor: Olga Troyanskaya

Participation Dates: 6/26/2024 to 8/7/2024

Stipend Offered: $0

Number of Internships Available: 0-2

Application Deadline: March 15, 2024, midnight eastern daylight time