Mariya Toneva is joining the Max Planck Institute for Software Systems as a tenure-track faculty starting in September 2022. Her research is at the intersection of Machine Learning, Natural Language Processing, and Neuroscience. She works on bridging language in machines with language in the brain, with a focus on building computational models of language processing in the brain that can also improve natural language processing systems. Prior to joining MPI-SWS, she is conducting research as a C.V. Starr Fellow at the Princeton Neuroscience Institute. She received her Ph.D. in a joint program between Machine Learning and Neural Computation from Carnegie Mellon University.
Soheil Feizi is an assistant professor in the Computer Science department at University of Maryland, College Park (UMD). His research focuses on understanding various theoretical and practical aspects of machine learning and statistical inference problems. In particular, Feizi strives to understand the robustness of modern learning methods with respect to the learning architecture, model complexity, sample complexity, and noise (either random or adversarial). He received NSF CAREER Award in 2020. Before joining UMD, he was a post-doctoral researcher at Stanford University . He received my Ph.D. and M.Sc. in Electrical Engineering and Computer Science, with a minor degree in Mathematics, at MIT.
Amol Deshpande is a professor in the Computer Science department at University of Maryland, College Park (UMD). His research spans a spectrum of topics in “big data”, including database query optimization, privacy adaptive query processing, cloud computing, sensor network data management, uncertain data management, and graph databases.
Robbert van Renesse is a professor in the Department of Computer Science at Cornell University in Ithaca, NY. He is a member of the Systems and Networking group. He is interested in distributed systems, particularly in their fault tolerance and scalability aspects.
Additional lecturers to be announced!