Dissertation: Methodological advances in data simulation with applications to complex study designs in high-dimensional data

Thesis: Univariate gradient statistic for a marginal cure rate model with high-dimensional covariates

• Developed predictive statistical models for clients to be put into production focusing on the reinsurance and life insurance Read more industries • Consult with clients directly to help develop research needs in specific areas of interest • Provide methods to understand characteristics of unique and sometimes ambiguous datasets • Extensive experience working with large datasets that have exceeded 500GB • Mentored and provided feedback to graduate students as part of their capstone research project • Develop Statements of Work • Provide QA/QC for the Quest business development team

• Design and program statistical applications and JMP add-ins for stakeholders to use and analyze data • Provide statistical designs for Read more analytical studies based on regulatory guidance or CLSI standards • Write, review, and edit statistical analysis plans and study reports • Utilize appropriate statistical methodologies and techniques to analyze data and summarize data analysis results both orally and written • Support responses to statistical queries form regulatory bodies including the FDA • Create all relevant documentation pertaining to statistical design and analysis at a level consistent with auditable standards in the IVD industry • Consult on complex study design and proposal development, planning, and strategy for companion diagnostic product development and validation • Lead or participate in internal and external statistical meetings

• Develops predictive and prescriptive analytic models, creating efficient algorithms, and innovating use of data. • Integrates data from Read more multiple sources • Supports and performs complex statistical data analyses including advanced survival analyses utilizing right truncation, multi-state, and competing risk models; multivariate statistical analysis; text mining and topic analyses. • Identifies, defines, directs and preforms project issue analysis to resolve issues, including analysis of technical and economic feasibility of proposed data solution. • Communicates highly technical information to numerous audiences, including senior management, the user community, and both technical and non-technical members. • Presents data and analyses to drive business decisions.