Laboratory Learning Program 2024 - Mapping Metabolism Through Computational Mass Spectrometry (LPB-01)

Research Opportunity Number: LPB-01

Project Title: Mapping Metabolism Through Computational Mass Spectrometry

Project Summary: Humans and the microbes that live within them produce small molecules that drive the progression and treatment of disease. The Skinnider lab uses computational and machine learning approaches to identify small molecules within data produced by mass spectrometry.

Student Roles and Responsibilities: The student(s) will work with a mentor to develop and apply approaches to identify small molecules and link them to biological functions.

The students are expected to show up on time and be courteous and respectful of all lab members, to put forth their best effort on all projects. No prior experience is necessary, but an open inquisitive mind and active communication with mentors and lab mates are essential.

Additional Considerations: Start and end dates are flexible, but the student should be available essentially full-time (30-40 hours per week).

Department/Institute: Ludwig Princeton Branch

Faculty Sponsor: Michael Skinnider

Participation Dates: 7/15/2024 to 8/16/2024

Stipend Offered: $400 weekly

Number of Internships Available: 0-2

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