معرفی
Mona Singh is a Professor of Computer Science at Princeton University, with affiliations to the Lewis-Sigler Institute for Integrative Genomics and the Department of Molecular Biology. She has been a faculty member since 1999.
- Ph.D., Massachusetts Institute of Technology, 1995
- A.B. and S.M. degrees in Computer Science from Harvard University
Her research focuses on computational molecular biology, integrating machine learning and algorithms to analyze biological networks, protein interactions, and mutational impacts. Key areas include DNA/RNA binding prediction, protein structure analysis, and network-based disease gene discovery.
Her recent work highlights trends in protein language models, kinase-substrate prediction, and equitable MHC binding algorithms. These span sub-fields like structural bioinformatics, network biology, and functional genomics.
Scientific Awards:
- Presidential Early Career Award for Scientists and Engineers (PECASE)
- Rheinstein Junior Faculty Award
- ACM Fellow (2019)
- ISCB Fellow (2018)
She has taught an introductory computational biology course with Professor Coleen Murphy, covering sequence analysis, phylogenetics, and network reconstruction. Her group has developed tools like dPUC, nCOP, and DiffMut.
Her lab collaborates with institutions including Carnegie Mellon, Duke University, and the Broad Institute, advancing applications in cancer genomics, metabolic disease, and precision medicine.
