Senior Analytics Scientist
Mr. Ankur Singhal is an environmental health scientist specializing in quantitative exposure science. He uses his expertise in exposure assessment along with his unique skill set in data collection, data science and machine learning (ML) to provide end-to-end risk assessment solutions for his clients. He has experience conducting field studies, simulation studies and exposure reconstructions to generate data; developing mathematical models, including ML models, to characterize and predict exposures; and performing human health risk assessments.
Mr. Singhal is an active participant in the academic and professional community publishing in peer-reviewed journals and presenting in conferences such as American Industrial Hygiene Association (AIHA), Society for Risk Analysis (SRA), International Society for Exposure Sciences (ISES), Society of Toxicology (SOT), and Product Stewardship Society.