Linda Cook
About Linda Cook
Linda Cook is a Managing Scientist with over 30 years of experience in environmental chemistry and data science. She specializes in environmental testing oversight, data quality assessment, and has expertise in natural resource damage assessment, oil spill response, and chemical forensic assessments.
Work at Exponent
Linda Cook has served as a Managing Scientist at Exponent since 2004. In this role, she provides technical oversight for environmental testing laboratories, ensuring data quality assessment is maintained. Her responsibilities include conducting onsite audits of laboratories across the country to evaluate technical competency and compliance with quality control procedures. Cook has also been involved in providing litigation support through the analysis and interpretation of environmental chemistry data.
Education and Expertise
Linda Cook holds a Master of Science in Human Nutrition from The Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy at Tufts University. She also earned a Bachelor of Science in Biology and Chemistry from Salem State University. With over 30 years of experience in environmental chemistry and data science, she specializes in chemical fingerprinting and the optimization and management of environmental data assets.
Background
Linda Cook has extensive experience in various aspects of environmental science. Her work includes natural resource damage assessment (NRDA), oil spill response, and contaminated sediment investigations. She has investigated hazardous waste sites and conducted assessments of manufactured gas plants (MGP). Additionally, Cook has participated in hydraulic fracturing site evaluations and marine monitoring programs.
Achievements
Throughout her career, Linda Cook has focused on data integrity and data fraud issues, performing root cause analyses to identify underlying factors. She has applied her expertise in environmental chemistry data to support chemical forensic assessments and fate and transport assessments. Her contributions have been significant in ensuring the quality and reliability of environmental data in various investigations.