Education

Ph. D. in Biological Engineering, 2014
Massachusetts Institute of Technology, Cambridge MA

B. S. in Biochemistry and B. A. in Economics, 2008
Case Western Reserve University, Cleveland OH
Minor in Chemistry; graduated summa cum laude with 4.0 GPA

Ayersville High School, Defiance OH
Graduated valedictorian with 4.0 GPA

Expertise

Career History

Principal Software Engineer, Applied BioMath, June 2017-present
Associate Principal Scientist, Merck, May 2017-June 2017
Senior Scientist, Merck, July 2014-May 2017
Graduate Researcher, Bruce Tidor lab, Massachusetts Institute of Technology, 2009-2014
Teaching Assistant, Biological Engineering Department, Massachusetts Institute of Technology, 2009
Undergraduate Researcher, Richard W Hanson lab, Case Western Reserve University, 2005-2008

Publications

Diana H Marcantonio, Andrew Matteson, Marc Presler, John M Burke, David R Hagen, Fei Hua, Joshua F Apgar, “Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions“, Frontiers in Pharmacology, 2022.

Bo Zheng, Lucia Wille, Karsten Peppel, David Hagen, Andrew Matteson, Jeffrey Ahlers, James Schaff, Fei Hua, Theresa Yuraszeck, Enoch Cobbina, Joshua F. Apgar, John M. Burke, John Roberts, Raibatak Das, “A systems pharmacology model for gene therapy in sickle cell disease“, CPT: Pharmacometrics & Systems Pharmacology, 2021.

Rajesh Krishna, Ferdous Gheyas, Yang Liu, David R Hagen, Brittany Walker, Akshita Chawla, Josee Cote, Robert O Blaustein, David E Gutstein, “Chronic Administration of Anacetrapib Is Associated With Accumulation in Adipose and Slow Elimination“, Clinical Pharmacology and Therapeutics, 2017.

David R Hagen and Bruce Tidor, “A Computational Experimental Design Method for Efficiently Reducing Topology Uncertainty”, unsubmitted.

David R Hagen and Bruce Tidor, “Efficient Bayesian Estimates for Discrimination among Topologically Different Systems Biology Models“, Molecular BioSystems, 2015.

David R Hagen, “Parameter and Topology Uncertainty for Optimal Experimental Design“, MIT Doctoral Thesis, 2014.

David R Hagen, Jacob K White, and Bruce Tidor, “Convergence in parameters and predictions using computational experimental design“, Interface Focus, 2013.

David R Hagen, Joshua F Apgar, David K Witmer, Forest M White, Bruce Tidor, “Reply to Comment on ‘Sloppy models, parameter uncertainty, and the role of experimental design’“, Molecular BioSystems, 2011.

Parvin Hakimi, Jianqi Yang, Gemma Casadesus, Duna Massillon, Fatima Tolentino-Silva, Colleen K Nye, Marco E Cabrera, David R Hagen, Christopher B Utter, Yacoub Baghdy, David H Johnson, David L Wilson, John P Kirwan, Satish C Kalhan, Richard W Hanson, “Overexpression of the cytosolic form of phosphoenolpyruvate carboxykinase (GTP) in skeletal muscle repatterns energy metabolism in the mouse“, Journal of Biological Chemistry, 2007.