Chemical Engineering Network

Andrew Damiani

**** ********* **** *****: 302-***-****

Hockessin, DE 19707 Email: acwggs@r.postjobfree.com

Education

Ph.D., Chemical Engineering, Auburn University 2011-2015 Advisor: Dr. Jin Wang

GPA: 3.80

Thesis Title: Control Engineering Perspective on Genome-Scale Metabolic Modeling B.S., Chemical Engineering, University of Delaware, 2010 Minors: Biochemical Engineering, Biochemistry, and Chemistry Honors/Awards

Auburn University Most Outstanding Chemical Engineering Doctoral Student, 2015

Auburn University Outstanding Doctoral Student, 2015

NSF Integrative Graduate Education Research Traineeship, 2013-14

Auburn University Graduate Tuition Fellowship, 2011-15

NSF Integrative Graduate Education Research Traineeship Undergraduate, 2007-08 Work Experience

Ph.D. Research Assistant, Auburn University 2011-2015

Developed an improved dynamic method to measure kLa in bioreactors

Formulated a novel systems identification based framework for genome-scale models for validation, refinement, and extraction of metabolic engineering strategies

Constructed a superior genome-scale model for Scheffersomyces stipitis Researcher, Institute of Energy Conversion, University of Delaware 2010-2011

Process control, modeling, and optimization of chemical vapor deposition for selenization and sulfurization

Formulated a reproducible and robust process for the absorber layer for Cu(InGa)Se2 solar cells that improved the solar cell efficiency Technical Skills

Programming: Matlab, Java, JavaScript, CSS, HTML, Bootstrap, Python, SAS, Maple, Polymath

Predictive Models: Linear, Non-linear, and Polynomial

Mathematical Methods: Linear optimization, Constraint-based modeling, Flux Balance Analysis

Machine Learning: Decision Trees, K-Means Clustering, Support Machine Vectors, Naive Bayes

Statistics: Descriptive Statistics, Probability Distributions, ANOVA, Principal Component Analysis

Data Presentation: MS Office, Origin, Visio

Wet Lab: Cell Culture, Bioreactor, Fermentation

Publications

1. Damiani A., He Q.P., Jeffries T.W., Wang J. (2015) Improved Genome-scale Network Model for Scheffersomyces stipitis, Biotechnology and Bioengineering, Manuscript preparation 2. Damiani A., He Q.P., Wang J. (2015) A System Identification Based Approach for Phenotype Phase Plane Analysis, Biotechnology and Bioengineering, Manuscript preparation 3. Damiani A., He Q.P., Wang J. (2015) A System Identification Based Framework for Genome-Scale Metabolic Network Model Validation and Refinement, IEEE Life Science Letters, Invited submission 4. Damiani A., He Q.P., Jeffries T.W., Wang J. (2015) Comprehensive evaluation of two genome-wide metabolic network models on Scheffersomyces stipitis, Biotechnology and Bioengineering. 5. Damiani A., Kim M.H., & Wang J. (2014) An Improved Dynamic Method to Measure kLa in Bioreactors, Biotechnology and Bioengineering, 111 (10), pp 2120 – 2125. 6. Liang M., Damiani A., He Q.P. & Wang J. (2014), Elucidating xylose metabolism of Scheffersomyces stipitis by flux balance analysis integrated with principal component analysis, ACS Sustainable Chemistry & Engineering, 2 (1), pp 38–48.

7. Kim K., Kimberly E., Damiani A., Hanket G., & Sharfarman W.Three step H2Se/Ar/H2S Reaction of Metal Precursors for Large Area Cu(In,Ga)(Se,S)2 with Uniform Ga Distribution. Proc. 38th IEEE Photovoltaic Specialists Conference, June 3-8 2012.

Selected Presentations

1. Damiani A., He Q.P., and Wang J., A System Identification Based Framework for Genome-Scale Metabolic Network Model Validation and Refinement, FOSBE, 2015, Boston, MA 2. Damiani A., Stone K. He Q.P., and Wang J., A System Identification Enhanced Phenotype Phase Plane Analysis, FOSBE, 2015, Boston, MA

3. Damiani A., He Q.P., and Wang J., A System Identification Based Approach for Phenotype Phase Plane Analysis, AIChE Annual Meeting, 2014, Atlanta, GA. 4. Damiani A., He Q.P., and Wang J., An Improved Genome-Scale Metabolic Network Model for Scheffersomyces stipitis, AIChE Annual Meeting, 2014, Atlanta, GA. 5. Damiani A., He Q.P., & Wang J., Comprehensive Evaluation of Two Genome-Wide Metabolic Network Models on Scheffersomyces stipitis, Metabolic Engineering X, 2014, Vancouver, BC. 6. Damiani A., He Q.P., and Wang J., A system identification based framework for metabolic network analysis and its application to genome scale models of Scheffersomyces stipitis, 36th Symposium on Biotechnology for Fuels and Chemicals, Clearwater Beach, FL.

7. Damiani A., Kim M.H., Liang M., and Wang J., A modified dynamic method for measuring kLa, AIChE Annual Meeting, 2013, San Francisco, CA

8. Damiani A., He Q.P., & Wang J., Comprehensive Evaluation of Two Genome-Wide Metabolic Network Models on Scheffersomyces stipitis, 35th Symposium on Biotechnology for Fuels and Chemicals, 2013, Portland, OR

Leadership Experience

Research Mentor, Auburn University

Trained undergraduate students on constraint-based metabolic modeling

Assisted an undergraduate student on completing their senior thesis project

Students presented their work at regional and national conferences Outreach Coordinator, Auburn University & University of Delaware

Participated in a collaborated effort at a local school for a hands-on engineering experience

Leader of a group of middle school students (IGERT Engineering Cool Stuff Camp)

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