HRP SU23-23: Research Opportunity with Dr. Changchun Liu

Project Mentor

Dr. Changchun Liu
Department of Biomedical Engineering

Undergraduate Research Opportunity Description

Project Description Nucleic acid-based molecular detection provides a highly sensitive and specific approach for rapid diagnostics of infectious diseases (e.g., COVID-19). In this summer project, we will design and fabricate microfluidic chips to detect nucleic acid molecules (e.g., DNA, RNA). We will use 3D printing technology to fabricate the chips. Please find more detail on our current research through the website:
Project Direction This summer research opportunity will focus on exploring new DNA detection methods and developing microfluidic chip technology. We will explore simple nucleic acid testing methods for pathogen detection. Also, we will design, fabricate, and test the microfluidic chips for rapid molecular detection.
Mentorship and Supervision The summer students will first work with the PI and the PI’s lab members (e.g., postdoc researchers, PhD students) to learn how to develop microfluidic devices and DNA testing technology. When they are familiar with these technologies, they will be encouraged to independently develop their microfluidic chip and nucleic acid detection. Then, the lab members will assist them in the experiment. The summer students will be invited to join our weekly lab meeting to discuss their experimental progress. Students are expected to analyze the experimental data and present their findings.
Student Qualifications Previous experience in microfluidics technology is not required, but demonstrated experience in one of the following fields — mechanical design (e.g., Solidworks), 3D printing, molecular biology, polymerase chain reaction (PCR), CRISPR technology and analytical chemistry — is desired.
Summer Schedule Options Research Dates: May 22 to July 28, 2023
Schedule: M-F, 9:30am-5:30pm
Project Continuation Fall 2023, Spring 2024
Academic Year Time Commitment 6 hours/week
Possible Thesis Project No


Submit an online application for this research opportunity at The application deadline is Monday, January 30, 2023.

This application requires a cover letter, a resume or CV, and an unofficial transcript.