ANDRES FELIPE HERNANDEZ, Ph.D.

**** ******* ******, ***. ** E-Mail: acr0g4@r.postjobfree.com

Ventura, CA 93004

678-***-****

OBJECTIVE

A high-level position within the engineering field which offers significant challenge, responsibility, and the opportunity for continued career growth.

HIGHLIGHTS OF QUALIFICATIONS

● Has an excellent combination of education and experience.

● Strong background in product development, process improvement, simulating chemical processes, data analysis, design of experiments, statistical process control, research, technical writing, and presentation development.

● Hard-working and driven, while skilled in many aspects of chemical process engineering, and is thoroughly familiar with industry practices, standards, and protocols.

● Has worked on many high-profile projects and initiatives, and is proven in ensuring that all organizational and project goals are consistently met and exceeded.

● Work has been featured in many publications and presentations.

● Programming expertise includes MATLAB/Simulink, Visual Basic, Python, and R.

● Bilingual, speaking English and Spanish fluently. EDUCATION

GEORGIA INSTITUTE OF TECHNOLOGY, Atlanta, Georgia

Ph.D. in Chemical Engineering, 2012. Dissertation: A Metamodeling approach for approximation of multivariate, stochastic, and dynamic simulations

UNIVERSIDAD DEL VALLE, Cali, Colombia

B.S. in Chemical Engineering, 2005. Dissertation: Diagnostic and simulation of a pH Control System in a continuous stirred tank reactor.

PROFESSIONAL EXPERIENCE

ARIZONA STATE UNIVERSITY (Cody Friesen, Ph.D.), Tempe, Arizona Research Engineer (2014-2015)

Acted as Team Leader in the area of mathematical modeling and data analysis in the development of a novel, all- polymer battery. Responsible for managing day to day team operations, staff training and supervision, workflow coordination, system design, report preparation, presenting project findings, and other engineering-related functions.

Managed smooth and efficient project operations, supervising a staff of six scientists throughout the project.

Work resulted in a 30% reduction in product development time for a battery separator; process involved ANOVA / design of mixture experiments.

Spearheaded the design of system-level predictive analytics, which evaluated overall battery processing and performance, using a database of electrochemical experiments and simulations of electrochemical reactions.

Worked on solvent-cast thin films, electrochemical impedance spectroscopy, and epoxy chemistry. GEORGIA INSTITUTE OF TECHNOLOGY (Martha A. Grover, Ph.D.), Atlanta, Georgia Postdoctoral Fellow (2012-2014)

Responsible for analyzing the co-existence of autocatalytic chemical species, utilizing system identification and reactor design models from chemical engineering (in context of origins of life chemistry). Personally mentored and supervised two research assistants, from project inception to approval of graduate-level proposals. Work was featured in two peer- reviewed research publications, one national presentation, and one book chapter submission

Identified relevant reaction pathways in an auto and cross-catalytic reaction network from RP-HPLC chromatography data, and applied sensitivity analysis to probe and monitor the transient behavior and assembly of peptide sequences in the reaction network-bases on an engineered, coiled-coil structural motif. GEORGIA INSTITUTE OF TECHNOLOGY (Martha A. Grover, Ph.D.), Atlanta, Georgia Graduate Research Assistant (2006-2012)

Worked on the development of metamodeling approaches to decrease the computational cost of detailed nanoscale phenomena simulations in chemical engineering. Case study: Growth of Platinum nanoparticles on carbon nanotubes under super-critical CO2 conditions. Also served as an associate lecturer of core Chemical Engineering course, and accumulated more than 13 lecture hours. Deliverables included six peer-reviewed research publications, seven national and international presentations, and three academic awards.

Achieved over 99% reduction in computational time for the prediction of Platinum nanoparticle size distribution, compared to the conventional stochastic kinetic Monte-Carlo model.

Devised a dynamic mapping Kriging method, which represented the system dynamics of mathematical models in chemical engineering, based on data algorithms from computer science.

Created a methodology to construct approximate models for multivariate stochastic dynamic simulations, utilizing Gaussian process models, combining ideas from design of experiments and spatial statistics (quantifying its error prediction).

SELECTED PUBLICATIONS

Andres F. Hernandez, Michael J. Wagner and Martha A. Grover, "Model identification of a template-directed peptide network for optimization in a continuous reactor", Chemical Communications, 2014. Vol. 50, No. 29, pp. 3849-3851.

Andres F. Hernandez and Martha A. Grover, "Error estimation properties of Gaussian process models in stochastic simulations", European Journal of Operational Research, 2013. Vol. 228, No. 1, pp. 131-140.

Andres F. Hernandez and Martha A. Grover, "Comparison of sampling strategies for Gaussian process models, with application to nanoparticle dynamics", Industrial & Engineering Chemistry Research, 2011. Vol. 50, No. 3, pp. 1379- 1388.

Andres F. Hernandez and Martha A. Grover, "Stochastic dynamic predictions using Gaussian process models for nanoparticle synthesis", Computers & Chemical Engineering, 2010. Vol. 34, No. 12, pp. 1953-1961.

Andres F. Hernandez and Martha Grover Gallivan, "An exploratory study of discrete time state-space models using kriging", 2008, pp. 3993-3998. In Proc. of the 2008 American Control Conference. Seattle, WA. SELECTED PRESENTATIONS

Andres F. Hernandez, "Machine learning: Extracting research pathways from nanoscale phenomena", 2010 AIChE Annual Meeting, Salt Palace Convention Center, Salt Lake City, UT, November 7-12, 2010.

Andres F. Hernandez and Martha A. Grover, "Evaluation of metamodeling techniques for discrete-time approximations", 2010 AIChE Annual Meeting, Salt Palace Convention Center, Salt Lake City, UT, November 7-12, 2010.

Andres F. Hernandez and Martha A. Grover, "Comparison of sampling strategies for kriging-based reduced-order models of nanoparticle dynamics", 2009 AIChE Annual Meeting, Gaylord Opryland Hotel, Nashville, TN, November 8- 13, 2009.

Andres F. Hernandez and Martha A. Grover, "Stochastic dynamic predictions using Kriging for nanoparticle synthesis", 10th International Symposium on Process Systems Engineering - PSE 2009, Salvador, Brazil.

Andres F. Hernandez, "Workshop Presentation", Pan American Advance Institute Program on Emerging Trends on Process Systems Engineering - PASI 2008, Mar del Plata, Argentina. HONORS AND AWARDS

2010 CAST Student Travel Award, Computing and Systems Technology Division, American Institute of Chemical Engineering.

Computing and Systems Technology (CAST) plenary session, "Comparison of sampling strategies for kriging-based reduced order-models of nanoparticle dynamics", 2009 AIChE Annual Meeting.

Outstanding Teaching Assistant Award, Fall 2008, School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA.

References available upon request

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