Regular biography
Yanina Shkel is an Assistant Professor in the Department of Computer Science at École Polytechnique Fédérale de Lausanne. Her research interests include advanced probability and applications, signal processing, and related areas. She teaches courses such as Advanced Probability and Applications (COM-417) and Signal Processing (COM-202). Her work covers topics like probability theory, martingales, concentration inequalities, and signal analysis. She is affiliated with multiple departments at EPFL, including IC-SSC, IC-SIN, and IINFCOM.
Scholar-generated biography
Yanina Shkel is a researcher specializing in Information Theory, Learning Theory, and Coding Theory. Her work explores advanced topics such as secrecy in communication systems, lossy source coding, and the application of information-theoretic principles to privacy and compression. She has contributed to the understanding of unequal message protection, secret key generation, and the use of polar coding in secure communication. Her research also addresses the theoretical foundations of universal compression, logarithmic loss, and the performance of communication systems under various constraints. Her publications highlight the intersection of information theory with practical applications in secure and efficient data transmission.