About
Yasna Hajikarimian is a Clinical Research Associate I, at Cedars-Sinai and an M.S. candidate in Data Science in Biomedicine at UCLA. Her research focuses on biomedical sensing, computational modeling, machine learning, and the translation of data-driven methods from simulation to experimental and clinically relevant applications. She is particularly interested in wearable technologies, AI-enabled medical devices, computational imaging, personalized health monitoring, and digital health innovation. Her current work includes developing and evaluating machine-learning approaches for Electrical Impedance Tomography and investigating how biomedical sensor data can be used to extract meaningful physiological information. She is interested in translating research into practical healthcare technologies and exploring entrepreneurship at the intersection of AI, sensing, and medicine. Yasna also serves in student leadership at UCLA and has been involved in healthcare and community service activities. She is completing her M.S. in Data Science in Biomedicine at UCLA and earned her B.S. in Biopsychology from the University of California, Santa Barbara.