معرفی
Russ Greiner is a Professor of Computing Science and Adjunct Professor of Psychiatry at the University of Alberta. He is a Canada CIFAR AI Chair and founding Scientific Director of Amii (Alberta Machine Intelligence Institute). His work focuses on applying machine learning to medical challenges, including survival prediction, computational psychiatry, and precision medicine. He has collaborated extensively with clinicians and researchers across disciplines, publishing over 350 papers and receiving prestigious awards like the CS-Can/Info-Can Lifetime Achievement Award (2023) and CAIAC Lifetime Achievement Award (2021).
Greiner earned his PhD from Stanford University and has held leadership roles in academic and industrial research. He has supervised over 110 students and mentees, emphasizing interdisciplinary collaboration. His contributions span foundational machine learning, medical AI applications, and metabolomics. Recent projects include predicting opioid overdose risks, modeling stroke lesions, and advancing schizophrenia diagnosis via fMRI analysis.
Awards highlight his impact: the 2024 Brockhouse Prize (shared) for metabolomics work, Killam Mentoring Award (2023), and recognition for his role in establishing Alberta as an AI hub. Greiner’s lab develops tools like CFM-ID (metabolite identification) and Bayesil (metabolic pathway analysis), deployed in public health initiatives. His current research emphasizes survival analysis and AI ethics in healthcare.
