Prof. Pingault: Tiny Microbes, Big Impact: How Microbiomes Shape Insect Biology

Undergraduate students will be introduced to research through guided, hands-on activities in both the laboratory and data analysis. Responsibilities may include:

• Assisting with basic laboratory tasks such as preparing samples and helping maintain insect or plant experiments
• Learning how to safely handle biological materials and follow lab protocols
• Organizing and recording data using spreadsheets and a lab notebook

Gaining an introduction to data analysis using R programming language, including:

• Loading and exploring simple datasets
• Creating basic graphs (e.g., bar charts, simple plots)
• Supporting ongoing experiments by helping collect and organize results
• Participating in team meetings and learning how to discuss scientific ideas
• Reading simplified scientific materials to build understanding of the project

Students are not expected to have prior research or coding experience. Training will be provided, and tasks will be adjusted based on student interests and comfort level. The goal is to help students build confidence, develop foundational research skills, and explore interests in science.

• Curiosity about how living systems work, particularly insects, microbes, or human health
• Willingness to learn new skills, including basic laboratory techniques and introductory data analysis using R programming language
• Strong attention to detail and ability to carefully follow instructions in a laboratory setting
• Reliability and responsibility in completing tasks and maintaining accurate records
• Openness to teamwork and collaborative learning in a supportive research environment
• Interest in problem-solving and asking scientific questions
• Persistence and a positive attitude when learning new or challenging concepts

This project may be of particular interest to students in biology, environmental science, public health, data science, or related fields, but no prior coursework or research experience is required.

Students will join a supportive and inclusive research environment with hands-on, step-by-step training in both laboratory and basic data analysis. I provide close mentorship through regular check-ins, guidance on scientific skills, and opportunities to gradually build independence.

Students will work alongside a collaborative team, including peer mentoring from graduate students.

We offer flexible scheduling to accommodate coursework, with some tasks (e.g., literature review) possible remotely. Our goal is to help students build confidence, develop foundational skills, and feel a strong sense of belonging in science.