Ning Sui

Bio

Research Interests

My research program focuses on undergraduate biochemistry education and the development of student competencies for modern biochemical research and related careers. 

One part of my work focuses on developing and assessing a course-based undergraduate research experience (CURE) centered on malate dehydrogenase. The course moves beyond traditional recipe-book laboratory exercises by engaging students in authentic research practices, including hypothesis development, molecular modeling, biochemical experimentation, data interpretation, and communication. Through this work, I examine how course-based research experiences help students develop competencies and confidence in biochemistry. 

Another part of my work focuses on curriculum design and scholarship of teaching and learning in upper-level biochemistry courses. This work aims to improve student engagement, learning outcomes, and students’ ability to apply biochemical knowledge and reasoning through case studies, real-world applications, and active and inquiry-based learning. 

A developing direction of my research focuses on computational and AI literacy in undergraduate biochemistry education. This work aims to define appropriate competencies for biochemistry students and examine how they can be integrated into courses in ways that support biochemical reasoning, problem solving, and career readiness. 

Resource site for CURE, SoTL, active learning, and other educational tool (under construction)

Area(s) of Expertise

Undergraduate Biochemistry Competencies

Publications

• DeepDTF: Deep Dual-Branch Transformer Fusion for Gemome-Based Anti-Cancer Drug Response Prediction. , Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2026) (2026)
• Faculty Orientations Shape Adoption of AI in Research and Teaching , (2026)
• Statistical Power for Moderation in Three-Level Multisite Individual Randomized Trials and Consequences of Ignoring a Level of Nesting , American Journal of Evaluation (2026)
• Abstract 1542 Renovating Biochemistry Education with Generative AI: Tips for Instructors and Insights from Students , Journal of Biological Chemistry (2025)
• From Mutation to Medicine: A Biochemistry Case Study on CFTR Structure and Function , HHMI BioInteractive Educator Resource Library (2025)
• Pre-trained molecular language models with random functional group masking , npj Artificial Intelligence (2025)
• Seeing the Invisible: Learning to Teach with Biomolecular Visualization , Seeing the Invisible: Learning to Teach with Biomolecular Visualization (2025)
• TouchWave: Exploring mmWave-Based Non-Contact Fingertip-Force Sensing in Activities of Daily Living , (2025)
• A Practical Guide to Power Analyses of Moderation Effects in Multisite Individual and Cluster Randomized Trials , The Journal of Experimental Education (2024)
• Ants: Attacking Spatial Temporal Graph Learning Networks Structurally , 2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024 (2024)