+## Postdoctoral Researcher at USC 2013--2015
++ Primarily responsible for the design, execution, and analysis of an
+ epidemiological study to identify genomic variants associated with
+ systemic lupus erythematosus using targeted deep sequencing.
++ Designed, budgeted, configured, maintained, and supported a secure
+ linux analysis cluster (MPI/torque) with a shared filesystem (NFS
+ over gluster) for statistical analyses.
++ Wrote multiple pieces of software to reproducibly analyze and
+ archive large datasets resulting from genomic sequencing.
++ Coordinated with clinicians, molecular biologists, and biologists to
+ produce analyses and major reports.
+
+## Postdoctoral Researcher at UCR 2010--2012
++ Primarily responsible for the execution and analysis of an
+ epidemiological study to identify genomic variants associated with
+ systemic lupus erythematosus using prior information and array based
+ approaches in a trio and cross sectional study of individuals from
+ the Los Angeles and greater United States.
++ Wrote and maintained multiple software components to reproducibly
+ perform the analyses.
+
+## Debian Developer 2004--Present
++ Maintained, managed configurations, and resolved issues in multiple
+ packages written in R, perl, python, scheme, C++, and C.
++ Resolved technical conflicts, developed technical standards, and
+ provided leadership as the elected chair of the Technical Committee.
++ Developer of [Debbugs](https://bugs.debian.org), a perl and SQL-based issue-tracker with ≥ 100
+ million entries with web, REST, and SOAP interfaces.
+
+## Independent Systems Administrator 2004--Present
++ Researched, recommended, budgeted, designed, deployed, configured,
+ operated, and monitored highly-available high-performance enterprise
+ hardware and software for web applications, authentication, backup,
+ email, and databases.
++ Provided vendor-level support for complex systems integration issues
+ on Debian GNU/Linux systems.
++ Full life-cycle support of medium and small business networking
+ infrastructure, including VPN, network security, wireless networks,
+ routing, DNS, DHCP, and authentication.
+
+# Education
++ Doctor of Philosophy (PhD) in Cell, Molecular and Developmental Biology at UC Riverside
++ Batchelor of Science (BS) in Biology at UC Riverside
+
+# Skills
+## Data Science
++ Reproducible, scalable analyses using *R*, *perl*, and python with
+ workflows on cloud- and cluster-based systems on terabyte-scale
+ datasets
++ Experimental design and correction to overcome multiple testing,
+ confounders, and batch effects using Bayesian and frequentist
+ methods
++ Design, development, and deployment of algorithms and data-driven
+ products, including APIs, reports, and interactive web applications
++ Statistical modeling (regression, inference, prediction/forecasting,
+ time series, and machine learning in very large (> 1TB) datasets)
++ Data mining, cleaning, processing and quality assurance of data
+ sources and products using tidydata formalisms
++ Visualization using *R*, ggplot, Shiny, and custom written routines.
+
+## Software Development
++ Languages: perl, R, C, C++, python, groovy, sh, make
++ Collaborative Development: git, travis, continuous integration,
+ automated testing
++ Web, Mobile: Shiny, jQuery, JavaScript
++ Databases: Postgresql (PL/SQL), SQLite, Mysql, NoSQL
++ Office Software: Gnumeric, Libreoffice, \LaTeX, Word, Excel,
+ Powerpoint
+
+## Genomics and Epigenomics
++ NGS and array-based Genomics and Epigenomics of complex human
+ diseases using RNA-seq, targeted DNA sequencing, RRBS, Illumina
+ bead arrays, and Affymetrix microarrays from sample collection to
+ publication.
++ Reproducible, scalable bioinformatics analysis using make,
+ nextflow, and cwl based workflows on cloud- and cluster-based
+ systems on terabyte-scale datasets
++ Alignment, annotation, and variant calling using existing and custom
+ software, including GATK, bwa, STAR, and kallisto.
++ Correcting for and experimental design to overcome multiple
+ testing, confounders, and batch effects using Bayesian and
+ frequentist methods approaches
++ Using evolutionary genomics to identify causal human variants
+
+## Statistics
++ Statistical modeling (regression, inference, prediction, and
+ learning in very large (> 1TB) datasets)
++ Addressing confounders and batch effects
++ Reproducible research
+
+## Big Data
++ Parallel and Cloud Computing (slurm, torque, AWS, OpenStack, Azure)
++ Inter-process communication: MPI, OpenMP
++ Filestorage: Gluster, CEFS, GPFS, Lustre
++ Linux system administration
+
+## Genomics and Epigenomics
++ Linkage and association-based mapping of complex phenotypes using
+ next-generation sequencing and arrays
++ Alignment, annotation, and variant calling using existing and custom
+ software