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Babatunde A. Ogunnaike

Affiliations: 
Department of Chemical Engineering University of Delaware, Newark, DE, United States 
Area:
Chemical Engineering, System Science Engineering
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"Babatunde Ogunnaike"
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Parents

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W. Harmon Ray grad student 1981 UW Madison

Children

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Arun Senthil Sundaramoorthy grad student 2021- University of Delaware
Daniel E. Zak grad student 2005 University of Delaware
Swapnil Garge grad student 2007 University of Delaware
Marc R. Birtwistle grad student 2008 University of Delaware
Erik S. Welf grad student 2009 University of Delaware
Mary Staehle grad student 2010 University of Delaware
Robert W. Leighty grad student 2013 University of Delaware
Qian Gou grad student 2014 University of Delaware
Jacob McGill grad student 2014 University of Delaware
Yu Luo post-doc 2017- (Computer Science Tree)
Kirti Yenkie post-doc 2017-2017 University of Delaware

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Publications

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Luo Y, Lovelett RJ, Price JV, et al. (2020) Modeling the Effect of Amino Acids and Copper on Monoclonal Antibody Productivity and Glycosylation: A Modular Approach. Biotechnology Journal. e2000261
Wells E, Song L, Greer M, et al. (2020) Media supplementation for targeted manipulation of monoclonal antibody galactosylation and fucosylation. Biotechnology and Bioengineering
Staehle MM, O'Sullivan S, Vadigepalli R, et al. (2020) Diurnal Patterns of Gene Expression in the Dorsal Vagal Complex and the Central Nucleus of the Amygdala - Non-rhythm-generating Brain Regions. Frontiers in Neuroscience. 14: 375
Ogunnaike BA. (2019) 110th Anniversary: Process and Systems Engineering Perspectives on Personalized Medicine and the Design of Effective Treatment of Diseases Industrial & Engineering Chemistry Research. 58: 20357-20369
Cook D, Achanta S, Hoek JB, et al. (2018) Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics. Bmc Systems Biology. 12: 86
Park J, Ogunnaike B, Schwaber J, et al. (2015) Identifying functional gene regulatory network phenotypes underlying single cell transcriptional variability. Progress in Biophysics and Molecular Biology. 117: 87-98
St Amand MM, Radhakrishnan D, Robinson AS, et al. (2014) Identification of manipulated variables for a glycosylation control strategy. Biotechnology and Bioengineering. 111: 1957-70
Park J, Brureau A, Kernan K, et al. (2014) Inputs drive cell phenotype variability. Genome Research. 24: 930-41
St Amand MM, Tran K, Radhakrishnan D, et al. (2014) Controllability analysis of protein glycosylation in CHO cells. Plos One. 9: e87973
Gou Q, Wetzel MD, Ogunnaike BA. (2014) Quantification of layered silicate dispersion in polymer nanocomposites Polymer (United Kingdom). 55: 4216-4225
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