- Develop novel association methods for the analysis of TOPMed WGS data with binary and continuous outcomes.- Optimize and apply statistical methods to estimate relatedness and population structure among >100,000 participants.- Interpret genetic variants and regions that yield statistically significant associations with disease.- Collaborate with members of the TOPMed consortium to define and execute statistical analysis plans.- Present methods and results on calls and at… Show more - Develop novel association methods for the analysis of TOPMed WGS data with binary and continuous outcomes.- Optimize and apply statistical methods to estimate relatedness and population structure among >100,000 participants.- Interpret genetic variants and regions that yield statistically significant associations with disease.- Collaborate with members of the TOPMed consortium to define and execute statistical analysis plans.- Present methods and results on calls and at in-person consortium meetings. Show less

- One of 16 fellows chosen to carry out their research proposal on a government-funded cloud computing environment, BioData Catalyst.- Implement in CWL a statistical method to simultaneously test multiple, correlated phenotypes for genetic association.- Apply the statistical method to a set of over 50,000 participants with 7 correlated traits; publish any novel findings of pleiotropy.- Provide feedback on the development of the cloud environment and become a super user.

- Analyzed WGS and SNP chip genotype data, including QC processes and association analyses.- Advised collaborators with regard to methods and procedures to implement on datasets.- Benchmarked new methods and tools against existing pipeline processes.- Presented results to internal and external collaborators.

- Investigated evidence for assortative mating among mate pairs, using genome-wide SNP data.- Compared X chromosome ancestry proportions to those estimated across the autosomes.- Presented key results at grant meetings.- Was a core member of the data cleaning team for the Gene Environment Association Studies (GENEVA), Genomics and Randomized Trials Network (GARNET) and Hispanic Community Health Study (HCHS/SoL) consortia.- Created, manipulated and merged complex data sets from… Show more - Investigated evidence for assortative mating among mate pairs, using genome-wide SNP data.- Compared X chromosome ancestry proportions to those estimated across the autosomes.- Presented key results at grant meetings.- Was a core member of the data cleaning team for the Gene Environment Association Studies (GENEVA), Genomics and Randomized Trials Network (GARNET) and Hispanic Community Health Study (HCHS/SoL) consortia.- Created, manipulated and merged complex data sets from 17 separate genome-wide association studies with data from five different genotyping array technologies.- Wrote, validated and executed R functions and scripts for statistical analyses of genetic data.- Presented results to NIH program officers and PIs. Show less

- Taught 11 weekly discussion sessions to a class of 25 statistics and biostatistics graduate students.- Presented review sheets and generated practice questions for students.- Wrote homework keys and graded weekly homework.

- Wrote an R package, cpvSNP, for submission to BioConductor that implements methods to combine association test p-values into gene sets.- Presented results and code to senior members of the Bioinformatics and Computational Biology department.- Collaborated with members of the Human Genetics department to obtain data sets and aid in interpretation of results.

- Taught the PTC Windchill software application to over 2,000 users on the Boeing 787 project throughout the course of one year.- Other projects included collaboration with a group of international IBM clients to prepare for a seven month software implementation, and development of comprehensive training and adoption programs for software implementations.