David Scott Boren

***** *** ***** ****** ******** Hills, CA 91364

*** - *** - **** acp7v5@r.postjobfree.com

EDUCATION

PhD in Biostatistics UCLA 2010 - 2015

Dissertation: “Agent-Based Modeling for HIV Prevention”

GPA: 3.91

Master of Science in Biomedical Engineering UCLA 2008

GPA: 3.80

Bachelor of Science in Bioengineering UCLA 2007

GPA: 3.67

STATISTICAL AND COMPUTING SKILLS

Machine Learning, Data-Mining, Bayesian Markov Chain Monte Carlo Analysis, Mixed Effect Modeling, Survival Data Analysis, Generalized Estimating Equations, Network/Graph Analysis, Agent-Based Modeling, Multi-Objective Optimization, Longitudinal Data Analysis

Expertise in R, SAS, STATA, SPSS, Winbugs, SQL, and Hadoop

Expertise in Perl, Python, C++, JAVA, and Matlab

PROFESSIONAL EXPERIENCE

Graduate Student Researcher in Biostatistics UCLA September 2011 - Present

HIV Sibanye Health Project

Designed from the ground up novel agent-based models for simulation of HIV transmission in South Africa with various biomedical and behavioral intervention scenarios.

Parallelized a unique multi-objective optimization solution and implemented on supercomputing cluster for model calibration.

Developed a statistical analysis of data and simulation results with a special emphasis on community randomized intervention effect size and variance estimation.

Graduate Student Researcher in Biostatistics UCLA July 2011 - July 2012

LA County Anthrax Emergency Response Project

Created and analyzed emergency-preparedness scenarios for LA County Department of Health.

Implemented a competing hazards survival model to predict infection and clearance rates at varying levels of exposure.

Created a large-scale sensitivity analysis of a complex antibiotic distribution scheduling system for emergency response planning.

Graduate Student Researcher in Biostatistics UCLA September 2010 - January 2012

California NanoSystems Institute UCLA Nanoparticle Toxicity Project

Analyzed high-throughput data for nanoparticle toxicity assays on yeast and E-Coli cultures.

Applied false discovery rate methodologies for identification of genes affecting survival in conditions with high concentrations of nanoparticles of varying size.

Tutor and Teacher Kaplan June 2008 - July 2010

Teaching Assistant UCLA September 2007 - June 2008

Assistant Manager Academic Publishing Services September 2004 - September 2007

PUBLICATIONS

1.Boren, David, Patrick S. Sullivan, Chris Beyrer, Stefan D. Baral, Linda Gail Bekker, and Ron Brookmeyer. "Stochastic variation in network epidemic models: implications for the design of community level HIV prevention trials." Statistics in Medicine 33, no. 22 (2014): 3894-3904.

2.Brookmeyer, Ron, David Boren, Stefan D. Baral, Linda-Gail Bekker, Nancy Phaswana-Mafuya, Chris Beyrer, and Patrick S. Sullivan. "Combination HIV prevention among MSM in South Africa: results from agent-based modeling." PloS One 9, no. 11 (2014): e112668.

3.Ivask, Angela, Elizabeth Suarez, Trina Patel, David Boren, Zhaoxia Ji, Patricia Holden, Donatello Telesca, Robert Damoiseaux, Kenneth A. Bradley, and Hilary Godwin. "Genome-wide bacterial toxicity screening uncovers the mechanisms of toxicity of a cationic polystyrene nanomaterial." Environmental Science & Technology 46, no. 4 (2012): 2398-2405.

4.Kim, Sanggu, Namshin Kim, Beihua Dong, David Boren, Serena A. Lee, Jaydip Das Gupta, Christina Gaughan et al. "Integration site preference of xenotropic murine leukemia virus-related virus, a new human retrovirus associated with prostate cancer." Journal of Virology 82, no. 20 (2008): 9964-9977.

PRESENTATIONS

Joint Statistical Meeting, San Diego, August 2012

Joint Statistical Meetings, Montreal, August 2013

Biometric Society Meeting (WNAR), Honolulu, June 2014

AWARDS

Biostatistics in AIDS Training Grant Award UCLA 2012 - 2015

Departmental Award for Outstanding Master's Student in Biomedical Engineering UCLA 2008

Eagle Scout

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