Lisi Wang, PhD

Research: - Led 20 hours of consulting sessions and taught 6 hours of lectures on statistical inference and experimentation methods, empowering healthcare providers with data interpretation skills. - Performed data cleaning and A/B testing for 4 quality improvement projects, leading to continuous improvements in professional development, educational technologies, and performance assessments; contributing to 3 national conference presentations and 1 journal article. - Predicted risk factors for patient diagnosis and treatment delay, by applying multiple imputation and regularized regression modeling on 900,000 EHRs; contributing to 1 journal article. - Identified main drivers of trainee success using regression modeling and presented recommendations to senior leadership, leading to successful launch of 2 healthcare training initiatives. Evaluation: - Created quantitative and qualitative evaluation reports for 110 courses and managed the flow of feedback to healthcare providers and administrators; closing the loop annually. - Developed and deployed interactive Power BI dashboards that ingest raw data and visualize 1,400 clinicians' performance metrics over time, increasing satisfaction from senior leadership by 40%. - Built pipelines to validate and analyze annual data of 10,000 records for clinician performance evaluation and recognition, reducing processing time by 50%. - Mentored 5 cross-functional new hires on standardized implementation of evaluation and assessment tools using self-authored documentation, ensuring a 95% compliance rate.

- Conducted statistical modeling for 7 learning analytics research projects, utilizing advanced techniques such as general linear models, multilevel modeling, structural equation modeling, latent profile analysis (unsupervised ML), and A/B testing; publishing 3 journal articles and 2 book chapters. - Created and analyzed 5 series of UX surveys to assess learning behaviors and habits, informing design of a scalable training program to enhance evidence-based behavioral change. - Designed the scalable training program, subsequently implemented A/B and multivariate testing to evaluate its efficacy, resulting in a 30% improvement in measurable behavioral outcomes.