Assistant Professor, 2016
Ph.D. in Computer Science and Engineering, Mississippi State University (2012)
Research: Bioinformatics, Ontologies, Natural Language Processing, Data Analytics, Data Mining, Literature Mining
Teaching: Advanced Data Structures, Bioinformatics, Topics in Database Systems (Data Mining)
Dr. Manda’s research is focused on developing algorithms for analyzing disparate kinds of biological data to answer domain-driven questions. Her work is primarily focused on semantically aware biological data described using ontologies. She has developed methods to mine cross-ontology relationships between ontologies and used semantic similarity techniques to compare biological phenotypes for understanding the genetic bases of evolutionary transitions. Her lab is currently focused on developing natural language processing methods based on deep learning to automatically read scientific literature and annotate them with biological concepts from appropriate ontologies.
Dr. Manda’s research has been supported by the National Science Foundation and Microsoft Research.
Dr. Manda joined UNCG in 2016 as an Assistant Professor. She earned a B.E. in Computer Science and Engineering from India and a Ph.D. in Computer Science and Engineering from Mississippi State University. Her doctoral work involved developing data mining algorithms for mining interesting biological relationships among different ontologies. From 2013-2016, she was a postdoctoral research associate at UNC Chapel Hill where she developed semantic similarity algorithms for scalable comparison of evolutionary phenotypes using ontology semantics.