People

Joining the lab

We are looking for students with a strong background in computation and mathematics who are interested in interdisciplinary research developing machine learning methods for problems in science and engineering. Experience in the sciences is a plus but not required; our research focus is computer science, and students learn the application areas through collaborative projects. We value creativity and independent thinking. Qian Yang is on sabbatical in 2026–27 and is taking on new students only for the openings listed below. She will follow up with applicants whose background is a strong match.

Current openings

PhD position: computer vision, active learning and uncertainty quantification. We are looking for a PhD student to develop methods that combine computer vision, active learning and uncertainty quantification for scientific images and videos. Strong candidates will have solid foundations in probability and statistics, linear algebra, and optimization, and hands-on experience training deep learning models for computer vision. We will fill this position only for an exceptional fit. To apply, email Qian Yang a CV and a short description of relevant projects.

Undergraduate research: graph neural networks and computer vision. We have projects available for UConn sophomores and juniors, with the potential to continue to longer-term projects. Topics include graph neural networks for molecules and materials, and computer vision for scientific images such as microscopy. In 2026–27, we are unfortunately unable to take on senior theses or independent study. Interested students should email Qian Yang with a short description of their background and interests.