Navid NaderiAlizadeh is an Assistant Research Professor in the Department of Biostatistics and Bioinformatics at Duke University. Prior to that, he was a Postdoctoral Researcher %in the Department of Electrical and Systems Engineering at the University of Pennsylvania. Navid’s current research interests span the foundations of machine learning, artificial intelligence, and signal processing and their applications in developing novel methods for analyzing biological data. Navid received the B.S. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2011, the M.S. degree in electrical and computer engineering from Cornell University, Ithaca, NY, USA, in 2014, and the Ph.D. degree in electrical engineering from the University of Southern California, Los Angeles, CA, USA, in 2016. Upon graduating with his Ph.D., he spent four years as a Research Scientist at Intel Labs and HRL Laboratories.
Navid's current research interests span the foundations of machine learning, artificial intelligence, and signal processing, and their applications in developing novel methods for analyzing biological data. He is especially interested in novel protein language model (PLM) and graph neural network (GNN) architectures for learning over protein sequence and structure data, as well as efficient and democratized foundation models in the realm of biology. Navid has also extensively worked on, and maintains his interest in, research problems in wireless communication networks, including fundamental information-theoretic limits and learning-based resource allocation algorithms.