معرفی
Dr. Olga Taran is a Lecturer at the Department of Health Sciences and Technology at ETH Zurich, specializing in machine learning and biomedical data science. She holds a PhD in Computer Science from the University of Geneva, with a focus on machine learning for complex problems. Her postdoctoral research at the Biomedical Data Science (BMDS) Lab involves developing data-driven metrics to improve outcomes in Spinal Cord Injury (SCI) clinical trials, addressing challenges in treatment evaluation. Her work aims to enhance clinical decision-making and accelerate therapy development. Olga's research also extends to anti-counterfeiting technologies using machine learning, focusing on copy detection patterns and authentication systems.
Her research interests span machine learning applications in healthcare, deep learning methodologies, and the integration of digital twins for fraud detection. She has contributed to advancements in radio astronomical image reconstruction and self-supervised learning techniques. Olga's publications reflect a strong emphasis on interdisciplinary solutions, combining machine learning with fields like astronomy, cybersecurity, and biomedical science.
Notable achievements include pioneering work on authentication systems using digital blueprints and physical fingerprints, as well as stochastic digital twin models for copy detection patterns. She actively collaborates on projects addressing the limitations of traditional clinical trial metrics and exploring machine learning's role in combating adversarial attacks on authentication systems.
