Raphael Malyankar is a computer consultant specializing most recently in semantic Web technology and organizational simulation. He earned his MS and PhD degrees in computer science from the University of New Hampshire (1989) and Arizona State University (1993). He previously earned degrees in physics, and encountered computer programming in a college course. At that time, he decided he preferred computer science to physics.

After receiving his PhD, he worked as a research scientist at Arizona State University, receiving funding for different projects related to intelligent agents and maritime information representation and processing from the National Science Foundation and the Coast Guard. His research interests have spanned intelligent agent systems and distributed artificial intelligence, resource allocation and distributed planning, decision support, operational simulation, norm evolution in political societies, patterns for intelligent agent systems, electronic market structures, ontologies and knowledge representation, maritime information representation, digital government, and various aspects of Extensible Markup Language (XML) and semantic Web technology. His current research interests are organizational simulation, agent-based modeling, and Web technology, including semantic Web applications.

He has worked as a research scientist, software engineer, applications programmer for financial applications, and instructor in physics and electronics. He is a member of the ACM, IEEE, and IEEE Computer Society.