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Professional headshot of  Daniel Woldring

Daniel Woldring

Assistant Professor

Chemical Engineering and Materials Science (ChEMS), College of Engineering

Institute For Quantitative Health Sciences and Engineering

775 Woodlot Dr Rm 4116


We develop high performance therapeutics and diagnostics using novel protein engineering methods. Our lab combines directed evolution and high-throughput experiments with structural biology and bioinformatics to elucidate biological processes and their clinical relevance.


Ph.D., University of Minnesota, Chemical Engineering, 2017

B.S., Michigan Technological University, Chemical Engineering, 2011


M Mardikoraem, DR Woldring. “Machine Learning-Driven Protein Library Design: A Path Toward Smarter Libraries”, Methods in Molecular Biology, 2022;2491:87-104. doi: 10.1007/978-1-0716-2285-8_5.

H Komuro, S Aminova, K Lauro, DR Woldring and M Harada, “Design and Evaluation of Engineered Extracellular Vesicle (EV)-Based Targeting for EGFR-Overexpressing Tumor Cells Using Monobody Display.” Bioengineering 2022, 9(2), 56.

J VanAntwerp, P Finneran, DR Woldring. “Ancestral sequence reconstruction and alternate amino acid states guide protein library design”, Methods in Molecular Biology, 2022;2491:75-86. doi: 10.1007/978-1-0716-2285-8_4.

Z Wang, T Belecciu, J Eaves, M Bachmann, DR Woldring, “Phytochemical Drug Discovery for COVID-19 Using High-resolution Computational Docking and Machine Learning Assisted Binder Prediction.” 2022 (Accepted by Journal of Biomolecular Structure and Dynamics and currently available at ChemRxiv)