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Data Software

Location:
Kirkland, WA, 98033
Posted:
March 09, 2010

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Resume:

Jiancong Xu

Kirkland, WA *****

Phone: 865-***-****

Email: abngwv@r.postjobfree.com

VISA STATUS: Permanent Resident

SUMMARY: research specialist with successful track record, wide-ranged and thorough knowledge

spanning from molecular biology, biochemistry to computational modeling; able to communicate

across multiple disciplines and provide scientific expertise in biotechnology industry.

PROFESSIONAL SKILLS

7 years research experience in developing and applying computational models and algorithms to study

complex biological systems/processes, including structure-based protein modeling, multiscale

modeling, binding free energy calculations, quantum mechanics/molecular mechanics studies,

homology modeling, ab initio protein structure prediction, virtual screening and QSAR.

Solid background in molecular and cellular biology, genetics and hands-on experience with

experimental techniques; familiar with chip/sequencing-based high-throughput methodologies.

Experienced in Fortran, C++, PERL, TcL, and shell script programming; 4 million CPU hours

experience with world-top supercomputers; 10+ year experience in the use of Linux, Windows, and

cluster batch system.

Experienced with statistical analyses of high-throughput genome data; familiar with many

bioinformatics tools such as sequence alignment programs (BLAST or related, HMMER, HHpred,

ClustalW2 etc.) and genome-scale functional analysis methods; experience with NCBI and GenBank

databases.

Proven ability to establish and manage collaborations, to understand research objectives, and to apply

and guide development of advanced computational approaches toward scientific discovery.

Strong presentation and communication skills; excellent scientific writing skills, especially in writing

peer reviewed papers and developing proposals submitted to NIH, NSF, DOE and supercomputing

facilities.

Quick learner, highly organized, open-minded person with proactive approach to learn and

practice new technologies

EXPERIENCE

Senior Research Fellow/Guest Lecturer, Center for Molecular Biophysics, Oak Ridge National Lab,

2007-2009

• Built a sequence-based classifier by incorporating protein structure features to identify and

disseminate protein domains from genome database. Used homology modeling and docking

programs to build structural models.

• Performed multi-scale simulations of microbe-enzymes-biomass interface; wrote software

programs in PERL and C++ for analyzing large amounts of data sets. Work highlighted in DOE

News.

• Built a close liaison with other institutions and DOE project managers to plan, schedule, and

coordinate detailed phases of projects. Supervised 5 undergraduate and 2 graduate students.

• Taught graduate course Introduction to Molecular Biophysics; prepared all the teaching materials;

organized and led Journal club Genome Science & Technology.

Research Assistant, Center for Biophysical Modeling and Simulation, University of Utah, 2002 -2007

• Developed theoretical and computational methods and co-implemented the DL-EVB software

package for membrane protein simulations; successfully modeled the proton translocation process

in cytochrome c oxidase and influenza M2 channel (Teragrid Science Highlight: Fighting the

Flu).

Discovered a novel proton pumping mechanism in cytochrome c oxidase, published as feature

article in Proceedings of National Academy of Science and Journal of the American Chemical

Society,

Conducted computational modeling of enzymatic reaction and ion transport in the membrane

protein cytochrome c oxidase using free energy perturbation and statistical mechanics

methods.

Scholarship Researcher, Interdisciplinary Center for Scientific Computing, University of

Heidelberg/German Cancer Research Center, Germany, 2000-2002.

• Research and experiment on computational genome annotation; utilized data mining algorithms

and various data sources to conduct large-scale statistical analysis of the functions of full-length

cDNA. Evaluated the accuracy of gene prediction softwares.

• Applied continuum electrostatic modeling methods to calculate the protonation probability of

bacteriorhodopsin during photocycle.

Bioinformatics Analyst, United Gene Holding LTD. Shanghai, China, 1998-2000.

• Developed computational algorithms, software and databases for the collection, interpretation and

dissemination of the large-scale post-genome data generated by human genome research.

EDUCATION

2007 Ph.D in Computational Chemistry, University of Utah

2002 M.S. in Molecular and Cellular Biology, University of Heidelberg, Germany

1998 B.S. in Genetics and Genetic Engineering, Fudan University, Shanghai, China

AWARDS AND HONORS

2006 Protons & Membrane Reactions Gordon Research Conference Award

2002 Dow Chemical First-Year Scholarship from University of Utah

2000-2002 Molecular and Cellular Biology Program Scholarship sponsored by C.H.S. Stiftungs-

GmbH, Heidelberg and the German Academic Exchange Service

1995-1998 Renmin Scholarship from Fudan University (top 5% in a class of 150)

1994 Outstanding Freshman Scholarship from Fudan University (top 2% of all freshmen)

SELECTED PUBLICATIONS (OUT OF 12)

J. Xu, M. Crowley and J. C. Smith, Building a Foundation for Structure-Based Cellulosome Design for

Cellulosic Ethanol: Insight into Cohesin-Dockerin Complexation from Computer Simulation. Protein

Science, 2009, 18 (5):949-959, DOE highlight.

J. Xu, M. A. Sharpe, Lin, Q, S. Ferguson-Miller and G. A. Voth, Storage of an Excess Proton in the

Hydrogen-bonded Network of the D-pathway of Cytochrome c Oxidase: Identification of a Protonated

Water Cluster. Journal of the American Chemical Society, 2007, 129: 2910-2913.

J. Xu and G. A. Voth, Free Energy Profiles for H+ Conduction in the D-pathway of Cytochrome c

Oxidase: A Study of the Wild Type and N98D Mutant. Biochimica et Biophysica Acta (BBA) –

Bioenergetics, 2006, 1757: 852-859

J. Xu and G. A. Voth, Computer Simulation of Explicit Proton Translocation in Cytochrome c Oxidase:

The D-pathway. Proceedings of National Academy of Sciences of the United States of America, 2005,

102(19): 6795-6800, feature article.



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