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Engineering Engineer

Location:
Baltimore, MD
Posted:
April 08, 2014

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Resume:

Robert Joseph Bender

**** **** **** ** *********, MD 20855

410-***-****

acdknq@r.postjobfree.com

EDUCATION

**** **.*. ** ********** Engineering

(expected) The Johns Hopkins University, Baltimore, MD

Thesis: “Genomic Data-Based Models of Growth Factor Signaling for Personalized Cancer

Therapy Selection”

2010 M.S. in Biotechnology

The Johns Hopkins University, Baltimore, MD

Thesis: “Effects of Amyloid Beta Fibrils and Aggregation Intermediates on Giant Unilamellar

Vesicles”

2006 B.S. in Chemical Engineering

University of Maryland, College Park, MD

Cum Laude Graduate

Certificate in Biological Engineering

RESEARCH EXPERIENCE

2010-present Ph.D. Candidate, The Johns Hopkins University

Department of Biomedical Engineering and Institute for Computational Medicine

Advisor: Dr. Feilim Mac Gabhann

Research: Computational modeling of growth factor signaling pathways related to angiogenesis.

In vitro validation of computational models in endothelial cell lines. Use of patient-specific

microarray data to predict activity of vascular endothelial growth factor pathway in tumors and

response to therapy.

2009-2010 Masters Student, The Johns Hopkins University

Thesis research conducted in the Fischell Department of Bioengineering, University of Maryland

Advisor: Dr. Sameer Shah

Research: Synthesized giant unilamellar vesicles and studied the effects of adverse osmotic

environments on the mechanical properties of their membranes. Utilized giant unilamellar

vesicles as model cell membranes to determine the impact that amyloid beta-peptide monomers,

oligomers, and fibrils have in Alzheimer’s disease. Developed a method for detecting the

membranes of vesicles using the Matlab Image Processing Toolbox.

2005-2006 Undergraduate Researcher, University of Maryland

Department of Chemical Engineering

Advisor: Dr. Srinivasa Raghavan

Research: Prepared various self-assembled structures, including lipid/fatty acid vesicles,

nanocapsules, and gels. Performed experiments to determine the release kinetics of small

molecules from self-assembled systems. Studied the applicability of these systems for drug

delivery and controlled release.

PROFESSIONAL EXPERIENCE

2006-2010 Bioprocess Engineer, Human Genome Sciences, Inc, Rockville, MD

Department of Fermentation and Cell Culture Sciences

Responsibilities: Developed microbial and mammalian cell culture processes for production of

recombinant proteins. Performed process characterization and validation studies to support

regulatory filings. Statistically designed experiments, using approaches that included full and

partial factorial and response surface methodology. Developed harvest and recovery processes,

including continuous centrifugation, depth filtration, and tangential flow filtration. Participated

in technical transfers of cell culture and recovery processes to manufacturing facilities. Provided

on-site support to GMP manufacturing campaigns. Modeled mixing conditions in bioreactors

using computational fluid dynamics. Attended professional conferences.

PUBLICATIONS

Bender RJ and Mac Gabhann F. “Dysregulation of the vascular endothelial growth factor and

semaphorin ligand-receptor families in prostate cancer metastasis.” Under review.

Bender RJ and Mac Gabhann F. “Expression of VEGF and semaphorin genes defines subgroups

of triple-negative breast cancer.” ˆPLoS One 8(5): e61788 (2013).

PRESENTATIONS

Hosseini I, Bender RJ, and Mac Gabhann F. “Identification of gene biomarkers for anti-cancer

drugs using parallel PLS-based models.” Poster presented at the 18th Annual International

Conference on Research in Computational Molecular Biology, Pittsburgh, PA, April 3, 2014.

Bender RJ and Mac Gabhann F. “VEGF and semaphorin expression in breast cancer: harnessing

high-throughput data for improved targeting of angiogenesis.” Presentation at the Biomedical

Engineering Society (BMES) 2012 Annual Meeting, Atlanta, GA, October 26, 2012.

Bender RJ and Mac Gabhann F. “VEGF and semaphorin expression in breast cancer: defining

anti-angiogenesis treatment subgroups.” Poster presented at the Johns Hopkins 6th Annual Nano-

Bio Symposium, Baltimore, MD, May 4, 2012.

TEACHING EXPERIENCE

Fall 2012 TA for EN.580.429 Systems Bioengineering III

Spring 2013 TA for EN.580.200 Introduction to Scientific Computing in BME using Python, Matlab, and R

TECHNICAL SKILLS

Programming: R; Python; Fortran; Matlab; Perl; SQL; Matlab; Fluent (computational fluid dynamics); JMP

(statistical analysis)

Cell Culture: Mammalian suspension cell culture, including NS0 and CHO cell lines; yeast (S. cerevisiae);

adherent cell lines (HUVEC/HMVECs)

Biochemistry: Immunoassays (Western blots, ELISA, immunoprecipitation); HPLC; RT-PCR; UV Vis

spectrophotometry; dynamic light scattering; fluorescence microscopy



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