معرفی
Russ Greiner is a Professor in the Department of Computing Science at the University of Alberta's Faculty of Science. He holds an adjunct appointment in the Department of Psychiatry within the Faculty of Medicine & Dentistry. His research focuses on machine learning applications in healthcare, including predictive modeling for neurodegenerative diseases, survival analysis, and clinical decision support systems.
Greiner’s work spans interdisciplinary collaborations, such as developing AI tools for mental health, opioid overdose prediction, and early disease outbreak detection. He has been actively involved in teaching advanced computing science courses like CMPUT 499 (Topics in Computing Science), emphasizing individualized research projects. His contributions to healthcare AI include foundational studies on survival model evaluation and dynamic treatment regimens.
Key research themes include overcoming challenges in censored data analysis, improving biomarker discovery reproducibility, and advancing electrocardiogram (ECG)-based mortality prediction. He has pioneered frameworks like SurvivalEVAL, an open-source package for survival model assessment, and contributed to platforms such as CAPTURE ALS for amyotrophic lateral sclerosis research.
Greiner’s projects often address real-world health challenges, such as mitigating batch effects in neuroimaging data, predicting psychiatric disorder outcomes via text analysis, and designing e-mental health interventions for first responders. His work bridges theoretical machine learning advancements with practical healthcare applications, emphasizing translational impact.
