Dr. Jianping Zhang is a managing director in the legal technology solutions practice. With more than 25 years of experience in developing analytics products and solutions, Dr. Zhang expands the firm’s analytics services and capabilities that address clients’ complex and evolving data challenges.
Dr. Zhang is one of the world’s foremost experts in artificial intelligence and machine learning with deep experience in predictive analytics, text analytics, advanced data analytics, and software development.
Prior to joining Navigant, Dr. Zhang helped build the advanced analytics team for Deloitte Financial Advisory Services and led the team in developing innovative analytics products and solutions for financial fraud detection, technology-assisted document review, and financial advisory applications. He has also led several predictive analytics efforts in developing innovative technologies for financial fraud detection used by the SEC.
Specifically, his experiences cover Machine Learning, Predictive Analytics, Text Analytics, Big Data Analytics, Advanced Data Analytics, and Software Development.
During his 25 year career, he has served as a Principal Investigator on a number of projects for different government agencies and led efforts in developing analytics products and solutions for government and commercial problems. Dr. Zhang has been responsible for defining technology visions and directions for advanced analytics, developing analytics products and solutions, and building an analytics team.
Dr. Zhang was a co-founder of a successful predictive analytics start-up, RationalWave Analytics, which was acquired by Bottomline Technologies, Inc.
Prior to joining Deloitte, he was a Principal Data Scientist and Data Mining group lead in the MITRE Corporation, where he led several predictive analytics efforts in developing innovative technologies for financial fraud detection. Prior to that, he was Chief Architect in AOL from 2004 to 2006, where he led efforts in developing web content categorization service, web filtering services, and web user profiling platform.
From 2000 to 2004, he was a Lead AI Scientist in MITRE, where he led efforts on several data mining projects for different US Government agencies. Specifically, he designed and developed an innovative rule-based machine learning algorithm for US Customs and Border Protection for identifying suspicious border crossings.
From 1990 to 2000, he was Assistant/Association Professor in Utah State University. Dr. Zhang’s research resulted in more than 100 peer reviewed technical publications and two US patents. He served as program committee members for many conferences.