Dr. Olga Taran
Dr. Olga Taran
Lecturer at the Department of Health Sciences and Technology
Additional information
Research area
Olga’s research interests lie in advancing machine learning algorithms, with a strong emphasis on deep learning methodologies for solving complex problems. She is especially passionate about applying these techniques to biomedical and healthcare applications, with a particular focus on improving outcomes in Spinal Cord Injury.
Additional information
Olga holds a PhD in Computer Science from the University of Geneva, where she specialized in applying machine and deep learning to complex, data-driven problems. Her doctoral research focused on reliable classification in both digital and physical contexts, providing a strong foundation in statistical modeling, data analysis, and algorithm development.
Olga joined the Biomedical Data Science (BMDS) Lab as a postdoctoral fellow in September 2024. Her current research focuses on improving the evaluation of drug effects in SCI clinical trials by developing alternative, data-driven metrics. This work addresses the high failure rate of SCI trials, which often stems from using overly simplistic and uniform assumptions about recovery that overlook individual variability. By enhancing the sensitivity and relevance of outcome assessments, her research aims to uncover true treatment effects, reduce trial failures, and accelerate the development of effective therapies. Ultimately, this work could transform clinical decision-making and improve patient access to promising treatments.