Medical Assistant

NING ZHANG

**** ******* ******, ************, ** 19104 cell: 518-***-**** **************@*****.***

Qualifications

An applied mathematician with 7 years of experience in developing advanced mathematical

models, numerical algorithms and computational tools as well as 4 years of experience in

solving inverse problems arising in medical imaging, seeking a challenging position in an evolving and

dynamic research environment

SKILLS

Proficient with mathematical and statistical software such as Matlab and R

Comfortable programming in C, C++, Qt4 and development for Windows and Linux

Strong mathematical and logical thinking, problem-solving skills

Great interest and passion as well as good knowledge of machine learning (such as

regression and classification techniques) and optimization

Competent in both independent research and teamwork

EXPERIENCE

Postdoctoral Researcher (2010 -– Present) University of Pennsylvania, Philadelphia, PA

Developed novel nonlinear high-resolution image-based finite element model and numerical program

for computational bone biomechanics

Improved the computational efficiency of a large-scale linear finite element simulation program

using multi-level and multi-threaded parallel computing; the program has been successfully applied

to high-resolution image-based finite element simulations on standard PCs without the need of

supercomputers and within clinically practical time

Developed a registration-based auto-focusing technique to correct for subject motion in MR images

Conducted MR image acquisition, image reconstruction, processing

Conducted statistical analysis of clinical data, evaluated experiment design

Assisted with NIH grant proposals and progress reports

Publish in peer-reviewed journals and conference proceedings (CV available upon request)

Post-doc Research Associate (2009 – 2010) Rensselaer Polytechnic Institute, Troy, NY

Designed and implemented a finite difference algorithm to simulate 3D elastic wave propagation in

viscoelastic media with parallel computing using OpenMP

Regularity analysis and error estimates of the solutions to linear viscoelastic systems

Instructor for Calculus I (Summer 2010) Rensselaer Polytechnic Institute, Troy, NY

Wrote and gave lectures, designed and graded homework, quizzes and exams, held office hours

Research Assistant (2005-2009) Rensselaer Polytechnic Institute, Troy, NY

Analyzed mathematical models and developed numerical algorithms for solving inverse problems in

medical imaging where the target was to detect and classify lesion, tumor and cancer, from

reconstructing and imaging the variations of soft tissue elasticity

Designed and implemented 2D Log-Elastographic algorithms to solve P.D.E.s and P.D.E. systems;

these algorithms effectively control the exponential error growth in the numerical solution without

any mesh size restriction

Simulated 2D elastic shear and compression wave propagations in isotropic nearly incompressible

media using finite difference methods, where the Perfectly Matched Layer method was implemented

to simulate an outgoing wave and to avoid artificial reflections

Applied a statistical method for numerical differentiation of noisy data

Developed and implemented numerical algorithm to do medical image de-noising using wavelet and

curvelet transforms

EDUCATION

Ph.D. in Mathematics Rensselaer Polytechnic Institute (2009)

(GPA: 4.00/4.00)

M.S. in Applied Mathematics Rensselaer Polytechnic Institute (2005)

(GPA: 4.00/4.00)

M.S. in Computational Mathematics Shanghai University (2003)

(GPA: 3.92/4.00)

B.S. in Computational Mathematics Jilin University (2000)

(GPA: 3.73/4.00)

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