Research Associate

Location:

Posted:

June 11, 2015

SHIYONG YU

Phone: 504-***-****; E-mail: ***@***.***

OBJECTIVE: college or high school instructor/mathematics or science (US permanent

resident and able to relocate)

PROFESSIONAL SKILLS

Regression, classification, and clustering analyses

Categorical, longitudinal, and compositional data analyses

Time-series analysis and forecasting

Bayesian inference and Monte Carlo simulation

SAS and MATLAB programming (certified SAS 9 advanced programmer)

PROFESSIONAL EXPERIENCE

University of Minnesota Duluth Large Lakes Observatory

Post-doc Research Associate, January 2004 – 2007

Conducted geophysical modeling of crustal deformation in the upper Great Lakes area

Developed probabilistic inverse models for quantifying past climate changes

Tulane University Department of Earth and Environmental Sciences

McWilliams Post-doc Scholar, January 2008 – December 2010

Developed a sedimentary record of past sea-level changes in the Louisiana Chenier Plain

Conducted geophysical modeling of land subsidence on the US Gulf Coast

Participated in the US-China EcoPartnerships program

EDUCATION

University of New Orleans Department of Mathematics

M.S. in Mathematics (with concentration in statistics, GPA 3.9), Degree received in May 2015

Lund University Department of Geology

Ph.D. in Quaternary Geology, Degree received in November 2003

SAMPLE PUBLICATIONS

Yu, S.-Y., Colman, S.M., and Li, L., 2015. BEMMA: A hierarchical Bayesian model for end-member

analysis of sediment grain-size distributions. Mathematical Geosciences, in revision.

Yu, S.-Y., 2015. A Hierarchical Bayesian Model for the Unmixing Analysis of Compositional Data

subject to Unit-sum Constraints. MSc Thesis, University of New Orleans.

Yu, S.-Y., Kang, Z., and Zhou, W., 2012. Quantitative palaeoclimate reconstruction as an inverse

problem: A Bayesian inference of late-Holocene climate on the eastern Tibetan Plateau from a

peat cellulose δ18O record. The Holocene 22 405-412.