Lydia Zakynthinou is a PhD student in the Computer Science program at Northeastern University’s Khoury College of Computer Sciences, advised by Professors Jonathan Ullman and Huy Lê Nguyễn. Before joining Northeastern, Lydia earned a diploma in Electrical and Computer Engineering from the National Technical University of Athens and a Master of Science from the University of Athens. Her research interests lie in the areas of learning theory and differential privacy.
I have completed the graduate program on Algorithms, Complexity and Theory of Computation in Athens and I am now in my fifth year in the PhD program.
My research interests lie in the theoretical foundations of machine learning and data privacy. My work focuses on designing learning algorithms for fundamental statistical problems that provably preserve the privacy of the individuals’ data as well as on understanding the properties that learning algorithms need to satisfy so that their empirical performance is a good indication of their performance in the real world.
I grew up in Athens, Greece.
I studied in the School of Electrical and Computer Engineering of the National Technical University of Athens. This is a five year program encompassing a wide range of the ECE knowledge and consisting of two periods; the first building a diverse background (core) and the second specializing in a preferred concentration field (MEng).
Lydia Zakynthinou is a PhD student in the Computer Science program at Northeastern University’s Khoury College of Computer Sciences, advised by Professors Jonathan Ullman and Huy Lê Nguyễn. Before joining Northeastern, Lydia earned a diploma in Electrical and Computer Engineering from the National Technical University of Athens and a Master of Science from the University of Athens. Her research interests lie in the areas of learning theory and differential privacy.
I have completed the graduate program on Algorithms, Complexity and Theory of Computation in Athens and I am now in my fifth year in the PhD program.
My research interests lie in the theoretical foundations of machine learning and data privacy. My work focuses on designing learning algorithms for fundamental statistical problems that provably preserve the privacy of the individuals’ data as well as on understanding the properties that learning algorithms need to satisfy so that their empirical performance is a good indication of their performance in the real world.
I grew up in Athens, Greece.
I studied in the School of Electrical and Computer Engineering of the National Technical University of Athens. This is a five year program encompassing a wide range of the ECE knowledge and consisting of two periods; the first building a diverse background (core) and the second specializing in a preferred concentration field (MEng).
