Summary
Prashanti Manda is a computer scientist and academic leader with 12+ years of experience designing ontology-driven semantic data analysis methods for bioinformatics, currently serving as AI Bootcamp Chief at AI-CCORE and an associate professor at the University of Nebraska at Omaha. She holds a PhD in Bioinformatics and Computer Science and has a strong track record of translating semantic similarity, NLP annotation, and data-mining research into practical tools and experimental frameworks developed during postdoctoral work at UNC Chapel Hill. Her work blends statistical modeling, topic modeling, and optimization—examples include semantic phenotype similarity frameworks, conference-session scheduling via LDA and stochastic optimization, and temporal data-mining of anatomical concept usage. Comfortable in both research and leadership roles, she has directed informatics initiatives and supervised large biological databases and student research, demonstrating an uncommon mix of hands-on algorithm development and academic program leadership. Based in Omaha, she brings a cross-disciplinary perspective that links evolutionary biology, ontologies, and AI-driven analytics to real-world bioinformatics challenges.
12 years of coding experience
6 years of employment as a software developer
Bachelors, Computer Science and Engineering, Bachelors, Computer Science and Engineering at Biju Patnaik Technical University, India
Doctor of Philisophy, Bioinformatics, Computer Science, Doctor of Philisophy, Bioinformatics, Computer Science at Mississippi State University
English, Hindi, Telugu, Odia