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Navid NaderiAlizadeh's personal picture.

I am an Assistant Research Professor in the Department of Biostatistics & Bioinformatics at Duke University. Prior to that, I spent more than four years as a Research Scientist in the Tech industry, followed by a two-year postdoctoral research position at the University of Pennsylvania. I received my Ph.D. in Electrical Engineering from the University of Southern California in 2016 and my M.Sc. in Electrical and Computer Engineering from Cornell University in 2014, both under Prof. Salman Avestimehr. I spent Summer 2015 as a Research Intern at Bell Labs under Prof. Mohammad Ali Maddah-Ali. I also received my B.Sc. in Electrical Engineering from Sharif University of Technology in 2011 under Prof. S. Jamaloddin Golestani.  

 

My 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 and health data in general. I am 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. I have also extensively worked on, and maintain my interest in, research problems in wireless communication networks, including fundamental information-theoretic limits and learning-based resource allocation algorithms.

 

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