Risk-based decision making (RBDM) is a process used to design restoration plans for impacted sites after assessing the degree of risk a site poses to human health and the environment. Widely regarded as an authoritative technical specialist on RBDM, Ravi has spent a decade presenting dozens of lectures and speeches on the subject to government officials, business leaders, and consultants building awareness about the protective and cost benefits of RBDM. Regulators have since developed a greater appreciation for the approach and regularly build risk-based considerations into plan corrective actions.
To manage environmental liabilities arising from past practices, Ravi helps clients find cost-effective solutions. He is widely respected for his ability to develop and implement investigation, remediation, and risk management strategies for impacted sites and for his technical advocacy of site-specific, risk-based closure strategies in discussions with regulatory agencies. Many of his efforts have supported medium-to-large Brownfields redevelopment projects in the Western United States. He also advises multiple clients on site closures regulated under the nation's Resource Conservation and Recovery Act (RCRA). Notably, he has had particular success in moving client sites to closure that had languished for years without a regulatory path forward prior to his involvement.
Ravi works with sites impacted by chlorinated solvents, petroleum products, and organic compounds such as methyl tert-butyl ether (MTBE). He has served as a technical specialist on numerous litigation matters involving technical issues associated with chlorinated solvent releases, indoor air impacts and human exposure to petroleum products.
As the first toxicologist for the State Water Resources Control Board within the California Environmental Protection Agency (1993 to 2002), he provided a toxicological perspective to the expanding the application of risk assessment and risk management to the areas of policy development, case review, and staff training.