Daniel Woldring

Daniel Woldring is an Assistant Professor in the Department of Chemical Engineering and Materials Science at Michigan State University's College of Engineering, affiliated with the Institute for Quantitative Health Science & Engineering. His research focuses on developing high-performance therapeutics and diagnostics through protein engineering, combining directed evolution, high-throughput experiments, structural biology, and computational methods.

Education:

• Ph.D., Chemical Engineering, University of Minnesota (2017)
• B.S., Chemical Engineering, Michigan Technological University (2011)

Research Interests: His lab explores protein engineering for disease detection and treatment, including biosensor development, ancestral sequence reconstruction, GPCR ligand design, and machine learning-driven library design. Recent work includes EV-based targeting systems, electrochemical biosensors, and computational drug discovery for diseases like cancer and COVID-19.

Publications: Recent articles highlight advancements in monobody engineering, machine learning for drug discovery, and synthetic biology methods. Themes include AI-driven protein design, targeted drug delivery, and evolutionary informatics.

Labs/Teams: Active in the Woldring Lab, focusing on precision medicine and diagnostic tools. Collaborations span academia and industry for translational biomedical research.