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A Viral Analysis Workflow

a viral analysis workflow

Join Niema Moshiri for a workshop about his workflow when conducting a real-time analysis of SARS-CoV-2 (the virus behind COVID-19).

Niema Moshiri is an Assistant Teaching Professor in the Computer Science and Engineering Department. He works on computational biology, and his research focuses on phylogenetics. His current research interests are primarily in modeling SARS-CoV-2 and HIV transmission and evolution as well as in developing massively-scalable computational methods for viral transmission history inference. In his teaching, Niema has developed multiple Massive Open Online Courses (MOOCs) in Bioinformatics and Data Structures. He has also authored a textbook, Design and Analysis of Data Structures, whose digital companion on the Stepik platform is frequently utilized in UC San Diego’s Advanced Data Structures course.