معرفی
Dr. Olga Goloubeva serves as a Professor in the School of Epidemiology & Public Health at the University of Maryland School of Medicine. Her primary appointment focuses on biostatistical applications in cancer research with extensive collaboration across oncology departments.
Her research concentrates on design and statistical analysis of clinical trials (Phases I-III), biomarker evaluation for cancer diagnostics, and prognostic modeling using longitudinal and hierarchical data structures. She specializes in integrating proteomics and genomics data into cancer survival models, with particular expertise in analyzing high-dimensionality datasets from SEER-Medicare and NCDB population-based cancer registries. Her work addresses critical gaps in understanding treatment disparities across racial and socioeconomic groups.
Analysis of her 15 most recent publications reveals consistent focus on hematologic malignancy outcomes (AML, lymphoma, myeloma), CAR-T therapy response prediction, and cardio-oncology interactions. Methodologically, she employs advanced biostatistical techniques including real-world evidence analysis, comparative effectiveness research, and complex survival modeling.
- International Topical Expert for Cancer Centre Site Visits (Innsbruck, 2011)
- Voting Member for International Cancer Research Evaluations (2011)
- Biostatistics Expert for Swiss National Science Foundation (2015)
- Statistical Consultant for NIH/NIA Alzheimer's Disease Trials (2008-2012)
- Member of DSM Boards for NIH Clinical Trials
Dr. Goloubeva actively serves as PI or Co-PI on multiple federally funded projects including NCI Cancer Center Support Grants and VA Merit Awards. Her statistical consultancy spans industry collaborations with biotech firms and international trials through the International Atomic Energy Agency. Current research examines ethnic disparities in multiple myeloma outcomes and behavioral interventions for low-income patient populations.
