Babu Guda, PhD
Associate Dean for Research Development, UNMC College of Medicine
Professor, Vice Chair for Bioinformatics, Department of Genetics, Cell Biology and Anatomy
Founding Director, Bioinformatics & Systems Biology Core
Founding Co-Director, Center for Biomedical Informatics Research & Innovation
Dr. Guda is a tenured professor and vice chair for Bioinformatics Research & Training in the UNMC Department of Genetics, Cell Biology, and Anatomy. In the UNMC College of Medicine, he serves as associate dean for research development.
Dr. Guda received interdisciplinary training in molecular biology, computer science and computational biology, with more than 25 years of experience in research, teaching and mentoring, and academic administration. His current research focuses on the development of novel bioinformatics tools using computational and machine learning approaches to address deep biological questions in cancer biology, neuroscience, precision medicine, and microbiome studies.
Dr. Guda’s research has been continuously supported by funding from NIH, NSF, and DoD since 2008. He published over 150 peer-reviewed research articles on topics related to novel algorithm development in computational biology, systems biology, cancer genomics, and precision medicine.
Dr. Guda has been heavily involved in graduate training; he mentored more than 60 members, including 15 PhD students and 14 postdoctoral researchers. He also serves on the grant review panels and external advisory boards of several NIH program grants.
- Post-doc, Computational Biology, University of California at San Diego
- Post-doc, Molecular Biology and Non-degree Student, Computer Science, Iowa State University at Ames
- PhD, Molecular Biology, Auburn University
- MSc(ag), Genetics, Seed Science, and Technology, Andhra Pradesh Agricultural University, India
- BSc(ag), Agricultural Sciences, Andhra Pradesh Agricultural University, India
- Application of machine learning and deep learning approaches for data mining using genomic big data.
- Development of novel tools for genomic and imaging data integration and analysis.
- Computational analysis of multiomics data to address deep biological questions in cancer biology, neuroscience, precision medicine, and microbiome studies.
- Vellichirammal NN, Yuande T, Peng X, Eudy JD, Shats O, Kelly D, Desler M, Cowan K, Guda C. The mutational landscape of a US Midwestern breast cancer cohort reveals subtype-specific cancer drivers and prognostic markers. Human Genomics, PMID: 37454130; PMCID: PMC10349437
- Li Y, Heavican TB, *Vellichirammal NN, Iqbal J, Guda C. (2017) ChimeRScope: a novel alignment-free algorithm for fusion gene prediction using paired-end RNA-Seq data, Nucleic Acids Research. 45:e120. PMID: 28472320; PMCID: PMC5737728.
- King B, Guda C. (2007) ngLOC: An n-gram based Bayesian method for estimating the subcellular proteomes of eukaryotes. Genome Biology, 2007;8(5):R68. doi: 10.1186/gb-2007-8-5-r68. PMID: 17472741; PMCID: PMC1929137.