Responsibilities include:

• Lead data science initiatives for Clinical Risk Adjustment
• Provide analytical support for actuarial and executive stakeholders
• Build tools and infrastructure to support data-driven decision making

Responsibilities include:

• Lead and mentor a team of data scientists. My team specializes in Bayesian modeling, time series forecasting, and risk/uncertainty quantification
• Develop and implement data science research strategies that align with organizational goals and drive innovation in the field, including Bayesian model development, model comparison, and model stacking
• Oversee the end-to-end lifecycle of data science research projects from research and development to model deployment

Responsibilities include:

• Develop Bayesian forecasting, pricing, and cashflow models
• Research novel methods for robust Bayesian model comparison
• Build semi-automated reports for executive decision-making
• Design internal software to improve model development and deployment

Responsibilities include:

• Developed theoretical models of chronic pain
• Built real-time data pipelines for in-app experience
• Deployed models for real-time inference
• Designed research studies and writing papers

During my PhD., I:

• Received the Presidential Fellowship for my dissertation research
• Was instructor of record for 4 semesters of Abnormal Psychology
• Trained in and conducted 400+ hours of cognitive behavioral therapy, motivational interviewing, acceptance and commitment therapy, and mindfulness based relapse prevention
• Published my research in journals including Computational Psychiatry, Cognitive Science, Clinical Psychological Science, and Drug and Alcohol Dependence