Statistician

Dunia Giniebra Camejo

Office: 713-***-**** • Cell: 832-***-**** • ********@*****.***

Work Experience

MD Anderson Cancer Center

Biostatistician, Department of Cancer Systems Imaging

Houston, TX

Mar 2016-Present

•Used supervised and unsupervised machine learning techniques such as support vector machines, tree-based methods, neural networks, and Bayesian ensembles to predict gene expression, disease progression, and patient prognosis

•Designed anomaly detection method to detect at-risk cases of early onset pneumonitis

•Created a penalized lasso classification system to identify sarcomatoid cells in lung tumors

•Identified autistic brains from normal brains using MRI scans and a custom-built boosted SVM model

•Developed graphical models to study the network structure of cancer-linked genes

Lone Star College

Adjunct Faculty, Department of Mathematics

Cypress, TX

May 2015-Mar 2016

•Taught college algebra and statistics classes to undergraduates

Institute of Cybernetics, Mathematics, and Physics

Statistics Specialist

Havana, Cuba

Sept 2010-June 2014

•Developed simulation algorithms based on Markov Chain Monte Carlo, Data Augmentation, and Expectation Maximization methods to address missing data problems and build a parametric model to estimate risk-factor changes

•Used a fully data-driven model selection procedure to estimate covariance functions, with applications in measurements of risk based on financial time series (VaR, Expected Shortfall)

•Applied techniques from Kriging Spatial Interpolation to map and predict rainfall and soil properties

•Developed variable selection method to extract variables of importance in Big Data datasets

•Built clustering methods, with applications in portfolio diversification and bias avoidance

Education

University of Havana

Master of Science in Probability and Statistics

Havana, Cuba

Sept 2010-July 2012

•Thesis: “Nonparametric Estimation of Covariance Functions by Means of Fully Data-Driven Model Selection Technique”

Bachelors of Science in Mathematics

Sept 2006-July 2010

•Thesis: “Methods of Solving Problems of Missing Data in Categorical Variables”

Publications

•“Radiome Sequencing Reveals Genomic Landscape of Glioblastoma and Predicts Patient Survival” (recently sent).

•“Estimation of Covariance Functions by a Fully Data-Driven Model Selection Procedure and its Application to Kriging Spatial Interpolation of Real Rainfall Data” Statistical Methods and Applications, Vol. 23, p. 149-174 (2014)

•“Applications of New Techniques to Kriging Spatial Interpolation for Predictions of Rainfall and Soil Properties in Pinar del Rio State” Reporte de investigación, ICIMAF 2012-670

•“Non Parametric Estimation of a Covariance Component in an Additive Model” Reporte de investigación, ICIMAF 2013

Skills and Interests

Technical Skills

Interests

R, MATLAB, Python, Octave, SPSS, Excel, SAS, STATISTICA, LaTeX

Stochastic Processes, Machine Learning, Time Series Analysis, Nonparametric Estimation, Predictive Modelling, Model Selection, Regularization, Dimension Reduction

Work Eligibility

Languages

US Permanent Resident

Spanish (native), English (very good), French (very good)

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