Professor of electrical engineering and computer science with more than three decades of technology experience, including over a decade in industry, whose research has spanned many aspects of big data and data science.   Recent research interests include data modeling, schema design, schema summarization, form generation, and natural language queries. 

Formal Education

  • Ph.D. in Electrical Engineering, Stanford University
  • Bachelor of Technology, Indian Institute of Technology Delhi

Career Highlights

  • Awarded the rank of Fellow by both the ACM and AAAS
  • During a thirteen-year career at AT&T Bell Labs, ascended from an entry-level engineer to the division manager for database research
  • Subject matter expert on data management, data science, and web technologies
  • Author of more than two hundred journal papers, including several on “data provenance” (i.e., tracking the source of any data product) and more papers on very large databases (VLDB) than any other researcher
  • Named inventor on more than three dozen issued U.S. patents, including for innovations in messaging systems, database technologies, telephone system billing, and data compression
  • Creator of a popular online course on data science ethics 

Expert Qualifications

  • Retained as an expert in intellectual property litigation relating to technologies used by major companies including EchoStar, IBM, Microsoft, Monsanto, Oracle, SAP, and Teradata
  • Served as an expert witness for patent owners as well as petitioners in U.S. PTAB Inter Partes Reviews (IPR) proceedings
  • Testified as an expert in depositions and trials over twenty times
  • Testified at deposition and trial in a trade secrets case brought by Mayo Clinic in U.S. District Court relating to natural language processing software specialized for applications in medical informatics and medical billing