Leadership
Director
Yi Guo PhD, FAMIA
Co-Director
Mei Liu
Assistant Director
Qinglin Pei PhD
Unit Leaders
Clinical Data Integration Unit Leader
Yi Guo PhD, FAMIA
The Clinical Data Integration & Discovery Unit provides researchers with access to high-quality, research-ready clinical data derived from electronic health records (EHRs), tumor registries and clinical trial systems. The unit supports cohort discovery, data harmonization and computable phenotype development using both structured and unstructured data. By leveraging standardized terminologies and data models (e.g., OMOP, FHIR), the unit ensures data interoperability and reproducibility, enabling efficient hypothesis generation, real-world evidence generation and support for translational cancer research.
Predictive Analytics Unit Leader
Qinglin Pei PhD
The Predictive Analytics & AI Modeling Unit offers specialized expertise in machine learning and artificial intelligence to advance cancer research and precision oncology. Through close collaboration with investigators, the unit develops and validates predictive models for risk assessment, treatment response, survival analysis and health outcomes. Core services include algorithm development, causal inference and support for target trial emulation. With a strong emphasis on clinical interpretability, scientific rigor and translational impact, this unit provides cutting-edge analytical capabilities to support data-driven discovery science and clinical decision-making.
eHealth & Patient-Centered Informatics Unit Leader
The eHealth & Patient-Centered Informatics Unit advances research through the integration and analysis of digital health tools, patient-reported outcomes (PROs) and patient-generated health data (PGHD). This unit supports mobile health (mHealth) and wearable device interventions, as well as remote symptom monitoring. With expertise in platforms like REDCap, app-based data collection, survey development and user-centered design, the unit enhances the Cancer Center’s capacity to conduct patient-centered research and improve engagement in real-world care settings.
Affiliated Faculty
Mattia Prosperi PhD, FAMIA, FACMI
Qianqian Song
Staff
Xiuyao Song PhD, MS
Postdocs/Students
