Engineering Design

** ****** **. **** * Somerville, MA *****

609-***-**** ********@***.***

CHAD LIEBERMAN

SUMMARY OF QUALIFICATIONS

A self-motivated fast learner with excellent work ethic and expertise in modeling, simulation, and

algorithms for inference of systems governed by partial differential equations (PDEs); PDE-constrained

optimization; Monte Carlo simulation for uncertainty propagation; and Markov Chain Monte Carlo for

Bayesian statistical inference of stochastic processes.

EDUCATION

Massachusetts Institute of Technology Cambridge, MA 2003-2012

Ph.D. Candidate, Department of Aeronautics & Astronautics, GPA 4.9 (Exp. May 2013)

S.M. Computation for Design and Optimization, GPA 5.0 (2009)

S.B. Mathematics, GPA 4.7 (2007)

S.B. Aerospace Engineering, GPA 4.5 (2007)

WORK EXPERIENCE

MIT Aerospace Computational Design Laboratory Cambridge, MA 2007-2012

Graduate Research Assistant: Developed goal-oriented algorithms for the inference of unknown

model parameters with a focus on final design objectives; devised new model reduction technique

to make tractable statistical inference of distributed parameters.

Schlumberger Doll Research Cambridge, MA Summer 2009

Mathematics & Modeling Group Intern: Accelerated 3-D electromagnetics code for inferring

subsurface parameters indicating location of deep hydrocarbons.

Sandia National Laboratories Albuquerque, NM Summer 2007

Computer Science Research Institute Intern: Implemented model reduction and optimization

tools in a parallel code for solutions of partial differential equations.

Mide Technology Corporation Medford, MA Summer 2006

Engineering Intern: Redesigned mid-range missile for the United States Army; responsibilities

included MATLAB programming, Fortran90 interfacing, concept verification, and prototyping.

AWARDS & SELECTED PUBLICATIONS

H. Burgiel, C. Lieberman, et al., Interactive applets in calculus and engineering courses, in Dynamical

mathematical software and visualization in the learning of mathematics, IGI Global (in print)

C. Lieberman, et al., Goal-oriented inference: Approach, linear theory, and application to advection-

diffusion, SIAM Journal on Scientific Computing, 34(4): A1880-A1904 (2012)

Kambourides Graduate Fellowship in Computational Engineering (2010)

C. Lieberman, et al., Parameter and state model reduction for large-scale statistical inverse problems,

SIAM Journal on Scientific Computing, 32(5): 2523-2542 (2010)

Bavarian Graduate School of Computational Engineering Student Paper Prize (2009)

MIT Department of Aeronautics & Astronautics Admiral Luis de Florez Award (2007)

TECHNICAL SKILLS & PROGRAMMING

Mathematical modeling, numerical linear algebra, optimization, simulation, statistical inference

Extensive experience with MATLAB; some exposure to Java, C, C++, Python, Fortran, PHP, HTML, MySQL

PERSONAL INTERESTS

Broadcasting MIT basketball, cooking, and molecular gastronomy

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