• Developed code for simulation experiments in statistical foundations and applied machine learning in forensic settings.
• Implemented performance metrics to evaluate Score Likelihood Ratios.
• Develop a new ensemble approach for the common source problem using sampling to remedy the complex dependence structure.
• Presented at leading conferences (ASA- JSM, AAFS).
• Invited speaker in Departmental Research Seminar (South Dakota State University)

As a graduate student, I assisted in the following courses:

• Stat 326: Intro to business statistics II (Spring 2020).
• Stat 526: Applied Statistical Modeling (Fall 2019).

• Led a team of five consultants in data collection efforts across Latina America and the Caribbean.
• Created a unique database of government expenditure in citizen security
• Provided new insights to government agencies in more than eight countries using statistical analysis.
• Participated in program design and evaluation. Impact evaluation and cost analysis.
• Collaborated in IADB Flagship publication, authored several technical reports and one refereed article.
• Developed a machine learning algorithm to prevent revictimization in domestic violence using data from multiple agencies.

• Provided consultancy services for government agencies and industry.
• Developed scoring tools for banking institutions and
• Assisted in sampling design and survey implementation.
• Conducted impact evaluation of policy.
• Authored technical reports and referred articles.