About Qian
Core Skills
- Expertise in AI, machine learning, deep learning, and NLP for healthcare applications.
- Strong knowledge of healthcare data (EHR, claims), health policy, and clinical AI solutions.
- Proficient in Python, SAS, R, SQL, JavaScript, and data visualization tools (Tableau, D3.js).
- Skilled in statistical modeling, predictive analytics, and leading multidisciplinary projects.
- Strong communication, consulting, and leadership abilities to deliver impactful, data-driven solutions.
Projects
Education
- Ph.D. in Biomedical Informatics (Part-time, Expected 2025) – University of Florida
- M.S. in Biostatistics (2015) – University of Florida
- B.S. in Biotechnology (2012) – Sun Yat-Sen University, China
Experience
Data Scientist IV (2023 – Present) | Data Management Analyst III (2017 – 2023)
University of Florida, Department of Health Outcomes & Biomedical Informatics
- Built machine learning models predicting Alzheimer’s disease using EHR data (AUC: 0.939), published in Alzheimer’s & Dementia. Link
- Designed a deep learning-based clinical notes de-identification system adopted by UF Health, ensuring privacy compliance for clinical text data access.
- Developed Managed Care Report Cards, including the Star Rating system, integrating HEDIS and CAHPS measures, and overseeing data collection, processing, and production. Link
- Developed digital quality measures on UF Health’s EPIC system using FHIR and CQL, tracking maternal healthcare quality for Florida Medicaid.
- Collaborated with multidisciplinary teams to design studies, manage data, and develop models, contributing to peer-reviewed publications and NIH grant proposals.
- Directed junior analysts, enhancing skill development, streamlining workflows, and ensuring high-quality deliverables.
Biostatistician
Palmer College (2015 – 2017)
- Developed analysis plans and performed sample size and power calculations for low back pain study protocols involving U.S. service members.
- Managed and analyzed laboratory data and patient-reported outcomes, utilizing SAS to develop programs for descriptive analysis and linear mixed models.
- Created tables and visualizations for scientific reports, contributing to a publication in JAMA. Link
Ph.D. Research
- Developed methods to optimize clinical trial eligibility criteria through trial emulation using real-world data, enhancing generalizability of findings.
- Integrated multi-criteria decision-making models and user-centered dashboard designs to facilitate clinical trial planning.
- Earned AMIA awards for research excellence: