Clancy Environmental Consultants, Inc.

Ph.D. Civil & Environmental Engineering, 1995, University of Rhode Island, Kingston, RI
M.S. Environmental Engineering, 1989, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
B.S. Civil Engineering, 1984, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

José Sobrinho is an environmental engineer with the Environmental Information Services Group in the Scituate, MA office of Clancy Environmental Consultants, Inc. He has over fifteen years of experience in environmental data mining, management, and analysis, as well as water quality, water resources, and management expertise. A previous position with the University of Rhode Island has provided Dr. Sobrinho a strong background in field sampling surveys, laboratory analyses, and water quality modeling.

Dr. Sobrinho serves primarily as a consultant for the water community and has worked for several non-profit, private, state, and federal organizations on numerous projects conducting statistical analysis and modeling; data mining and management; and interpretation of microbial, water quality, toxicity, sediment, and environmental data employing Microsoft Excel and Access, Crystal Ball, and Statistical Analysis System (SAS). He also serves as a data analyst for environmental litigation projects, providing quantitative evidence to support technical positions.

Dr. Sobrinho has a broad range of experience in SAS programming and statistical modeling. His SAS programming experience includes data transformation and conversion, raw data processing, iterative processing, reading new datasets from a variety of formats, working with large data files, formatting data values, creating and assigning variable attributes, etc. He is also experienced with several SAS parametric and nonparametric procedures to perform summary statistics, linear and logistic regression, analysis of variance and covariance, clustering analysis, comparison and multivariate analyses, statistical procedures.

Dr. Sobrinho also conducts total maximum daily load (TMDL) assessments, watershed protection and management studies, and assessments of current methodologies on the development of future U.S. Environmental Protection Agency (USEPA) regulations for Giardia and Cryptosporidium.