Mechanical Engineering Data

Kun Wang

**** ********* **., **, **** Collins, CO 80524

Cell: 347-***-****, Email: ***.****@****.***

EDUCATIONAL BACKGROUND:

Mathematics, Colorado State University, Fort Collins, CO

Mechanical Engineering & Materials Science, Yale University, New Haven, CT

Joint Post-Doc, Aug 2014 (expected)

Physics, The City College of New York, New York, NY

Ph.D., 2011

Thesis Title: Potential Energy Landscape of Particulate Matter

Physics, Fudan University, Shanghai, China

B.S., 2005

WORKING EXPERIENCE:

Lecturer, Department of Mathematics, Colorado State University, Fort Collins, CO. 2012 - present

“Introduction to Ordinary Differential Equations”

“Calculus II for Physical Scientists”

Design course structure, syllabus, and requirements. Prepare and conduct lectures.

Co-founder, Oro Capital Management, New York, NY. 2012 - present

“Forex Trading Strategy Development”

Develop strategies in Forex based on the market volatility. Backtest the trading indicators and optimize the

singal variables on historic tick data. Build analytical tools for backtesting performance using C++. Implement

and maintain the algorithmic strategies in Excel/VBA (using DDE) with Interactive Brokers API. Develop

backtesting and real-time trading codes with C++/VBA(Excel) from scratch.

Adjunct instructor, Department of Physics, The City College of New York, New York, NY. 2005 - 2010

“General Physics”

Lectured and administered lab sessions, graded assignments.

RESEARCH EXPERIENCE:

Colorado State University and Yale University, Fort Collins, CO, 2012 - present

Joint Post-Doc, Advisors: Dr. Michael Kirby & Dr. Corey S. O’Hern

Applied and computational mathematics: Data analysis, classification, dimensionality reduction, opti-

mization, time series analysis, machine learning, modeling, and simulation.

Data analysis: Develop learning algorithms to identify geometric structure in high dimensional data

that provides a route to dimensionality reduction by Support Vector Machine (SVM), Random Forest

(RF), Singular Value Decomposition (SVD), and Canonical Correlation Analysis (CCA) methods.

Data-driven modeling: Implement numerical reconstruction techniques to build systems of coupled

Ordinary Differential Equations (ODEs). Design algorithms to control the model systems by Nonlinear

Model Predictive Control (NMPC). Analyze the dynamical behavior of the systems.

Time series analysis: Analyse discrete time series of move sequences by Principal Component Analysis

(PCA). Use Detrended Fluctuation Analysis (DFA) and Dynamic Time Warping (DTW) methods to

detect long-range correlations and similarity between sequences.

The City College of New York, New York, NY, 2007 - 2011

Ph.D., Advisor: Dr. Hernan A. Makse

Statistical and computational physics: Statistical theory, data analysis, optimization, numerical analysis,

modeling, and simulation.

Statistic theory: Studied the statistical properties of nonequilibrium systems. Developed numerical

simulation of nonequilibrium particulate systems by Quasi Newton and Monte Carlo methods.

Numerical analysis: Studied the energy landscape network of nonequilibrium systems. Analyzed the

network properties and modeled the system evolution.

Kun Wang Page 2

SKILLS:

C/C++, Matlab, Excel/VBA

Numerical Analysis, Optimization Algorithms, Data Driven Modeling, Machine Learning, Time

Series Anlysis

Windows /Unix

FELLOWSHIPS:

Science Fellowship, 2005 - 2007

University Fellowship, 2008 - 2011

PUBLICATIONS:

“Energy-landscape network approach to the glass transition”, S. Carmi, S. Havlin, C. Song, K. Wang, H.

Makse, J. Phys. A: Math. Theor., 42, 105101 (2009)

“Jamming in two-dimensional packings”, S. Meyer, C. Song, Y. Jin, K. Wang, H. Makse, Physica A, 389,

(2010)

“From force distribution to average coordination number in frictional granular matter”, P. Wang, C. Song, C.

Briscoe, K. Wang, H. Makse, Physica A, 389 (2010)

“Distribution of volumes and coordination numbers in jammed matter: mesoscopic ensemble”, P. Wang, C.

Song, C. Briscoe, K. Wang, H. Makse, Physica A, 389 (2010)

“Angoricity and compactivity describe the jamming transition in soft particulate matter”, K. Wang, C. Song,

P. Wang, H. Makse, Euro. Phys. Lett., 91, 68001 (2010) (in Best of 2010 EPL collection)

“Edwards thermodynamics of the jamming transition for frictionless packings: Ergodicity test and role of

angoricity and compactivity”, K. Wang, C. Song, P. ang, H. Makse, Phys. Rev. E, 86, 011305 (2012)

“Which biomarkers reveal neonatal sepsis”, K. Wang, V. Bhandari, S. Chepustanova, G. Huber, S. O’Hara,

C. O’Hern, M. Shattuck, M. Kirby, PLoS ONE, 8(12):e82700 (2013)

“Iterative feature removal yields highly discriminative pathways”, S. O’Hara*, K. Wang*, R. Slayden, A.

Schenkel, G. Huber, C. O’Hern, M. Shattuck, M. Kirby, BMC Genomics, 14, 832 (2013) (contributed equally)

“Angiopoietin-1, Angiopoietin-2 and Bicarbonate as Diagnostic Biomarkers in Children With Severe Sepsis”,

K. Wang, V. Bhandari, C. O’Hern, M. Shattuck, M. Kirby, in preparation (2014)

“Outcome prediction in a mathematical model of immune response to infection”, M. Mai, K. Wang, M. Kirby,

M. Shattuck, C. O’Hern, in preparation (2014)

REFERENCES:

Dr. Hernan A. Makse

Department of Physics, and Levich Institute, The City College of New York

Email: ******@******.****.****.****.***

Dr. Michael Kirby

Departments of Mathematics, and Computer Science, Colorado State University

Email: *****@****.*********.***

Dr. Corey S. O’Hern

Departments of Mechanical Engineering & Material Science, Applied Physics, and Physics, Yale University

Email: *****.*****@****.***

Mr. Dimitri Zolotov

Founder, Oro Capital Management

Email: *******@******.***

Contact this candidate