Dr. Jeanette Stingone is a formally-trained environmental epidemiologist with a focus on perinatal and pediatric health. She conducts research that couples data science techniques with epidemiologic methods to investigate how prenatal and early-life environmental exposures affect health and development throughout childhood and beyond. Currently, she is investigating how machine learning approaches can be used to uncover the combinations of multiple environmental exposures that contribute to disease and disability in children including birth defects, adverse neurodevelopment and early puberty. Dr. Stingone also has a strong interest in the use of collective science initiatives to advance public health research, and works to develop methods and approaches for data harmonization across diverse studies of environmental health.