Daniel Reker
Assistant Professor of Biomedical Engineering
Overview
The Reker lab tightly integrates biomedical data science and wet-lab experiments for the analysis and design of therapeutic opportunities. Automated experimentation can be guided by active machine learning to generate knowledge-rich datasets. A key aspect of our research is improving our understanding of the most effective active machine learning workflows to enable the broad deployment of adaptive machine learning and automated experimentation.
We focus our adaptive model development on critical drug properties such as efficacy, biodistribution, metabolism, toxicity, and side-effects. Prospective applications of these predictions enable us to better understand limitations of currently approved medications as well as design new drug candidates, nanoparticles, and pharmaceutical formulations. By integrating clinical data analysis, we can rapidly validate the translational relevance of our predictions and conceive big data-driven protocols for precision medicine and personalized drug delivery.
Positions
Assistant Professor of Biomedical Engineering in the Pratt School of Engineering
2021 Pratt School of Engineering
Member of the Duke Cancer Institute in the School of Medicine
2022 School of Medicine
Education
Sc.D. 2016
2016 Swiss Federal Institute of Technology-ETH Zurich (Switzerland)
Publications, Grants & Awards
- Grants (6)
- Academics Articles (49)
- Book Sections (3)
National Institutes of Health
National Science Foundation
National Institutes of Health
National Institutes of Health
University of North Carolina - Chapel Hill
North Carolina Biotechnology Center
Artificial Intelligence in the Life Sciences
Nature Reviews. Drug Discovery
Journal of Cheminformatics
Journal of Pharmaceutical Sciences
Digital Discovery
Journal of Chemical Information and Modeling
Advanced Science (Weinheim, Baden Wurttemberg, Germany)
Annals of Intensive Care
Cell Reports Physical Science
Nature Nanotechnology
Cell Reports Physical Science
Journal of Computer Aided Molecular Design
Nature Biomedical Engineering
Drug Discovery Today: Technologies
Journal of Computer Aided Molecular Design
Scientific Reports
Science Translational Medicine
Future Medicinal Chemistry
Molecular Informatics
Angewandte Chemie International Edition
Nature Chemistry
Chemical Communications
Angewandte Chemie International Edition
Angewandte Chemie International Edition
Angewandte Chemie International Edition
Drug Discovery Today
Planta Medica
Angewandte Chemie International Edition
Nature Chemistry
Chimia International Journal for Chemistry
Angewandte Chemie International Edition
Proceedings of the National Academy of Sciences of the United States of America
Trends in Molecular Medicine
Molecular Informatics
Journal of Proteome Research
Computational Biology and Chemistry