Biography
My research interests include high-dimensional analysis, low-rank detection, subspace clustering, and machine learning. I have experience with traditional statistical approaches to problems such as linear/non-linear regression and various machine learning/artificial intelligence methods. In conjunction with my statistical expertise, I worked as a project engineer for pharmaceutical settings and a professional software position. In addition, I enjoy spending time with my family, training in Brazilian Jiu Jitsu, and biking.
- High-dimensional analysis
- Computational Statistics
- Machine Learning/Artificial Intelligence
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PhD in Biostatistics, 2022
Indiana University
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BS in Physics, 2015
Rose-Hulman Institute of Technology
Experience
Responsibilities include:
- Construct complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R/Python.
- Utilize APIs, web scraping, SQL/no-SQL databases, and development operations to create, deploy and maintain state-of-the-art statistical and machine learning solutions.
- Create novel, theoretically driven, statistical/machine learning methods to solve unique challenges.
- Develop and lead data science team.
Responsibilities include:
- Design and implement dynamic pricing methods.
- Build an automated, multifaceted, forecasting dashboard to project the growth of the company by industry, service, and location.
- Develop novel, temporal itemset mining methods to identify proitable, high-impact service combinations to market to existing clients.
- Build programs to automatically glean meaningful information from internal data such as client retention rates by industry, service, and location.
Courses include:
- Introduction to Biostatistics
- Biostatistics for Informatics
Responsibilities include:
- Support and implement Process Analytical Technology (PAT) systems.
- Created automated processes and reports through stored procedures and complex queries utilizing SQL to facilitate custom functionality and reporting needs of customers.
- Develop novel, temporal itemset mining methods to identify proitable, high-impact service combinations to market to existing clients.
- Develop, implement and support Manufacturing Execution Systems (MES).
Responsibilities include:
- Support, develop & maintain electronic medical record software.
- Work with several customers to solve complex software issues.
- Write new functionality to meet customers needs.
- Develop complex & meaningful reports from relational databases.
Responsibilities include:
- Multivariate calibration with applications in data modeling.
- Developed algorithms to automatically select models in multiple tuning parameter systems.
- Applied algorithms to predict the active ingredient of pharmaceutical tablets using near infrared (NIR) spectra.
