Liangyuan Hu · Mathematics & Statistics
Dr. Liangyuan Hu's lab focuses on developing advanced statistical methods for analyzing complex data from cardiovascular health studies. By utilizing Bayesian machine learning techniques, the lab aims to address issues such as missing data and causal inference in longitudinal cohort studies. This research is vital for improving our understanding of cardiovascular diseases and informing public health strategies.
Stefania Papatheodorou · Mathematics & Statistics
Dr. Stefania Papatheodorou's lab focuses on understanding how air pollution and temperature affect the development of children. By analyzing large datasets from pregnancies and early childhood, they seek to identify harmful environmental factors that may contribute to neurodevelopmental disorders like autism and ADHD. Their innovative research aims to provide insights that could guide public health decisions and policies to protect children's health.
Anita Y. Kinney · Mathematics & Statistics
Dr. Anita Y. Kinney's lab focuses on improving cancer care and prevention through innovative approaches, particularly for underserved populations. They work on enhancing shared decision-making processes in lung cancer screening to ensure patients receive adequate support in understanding their options. Additionally, the lab addresses disparities in genetic testing for cancer survivors, especially among racial minorities, by developing tailored interventions that promote access and education.
Emily S Barrett · Mathematics & Statistics
Dr. Emily Barrett's lab focuses on understanding how early environmental factors impact the development of the microbiome and health in children. By studying diverse communities in New Jersey, they investigate how experiences like cesarean sections and antibiotic use might contribute to health issues such as asthma. This research aims to close knowledge gaps regarding disparities in health outcomes based on microbiome disturbances in early life.
Michelle T. Bover Manderski · Mathematics & Statistics
Dr. Michelle T. Bover Manderski's lab focuses on understanding the adoption and usage patterns of nicotine pouches among adults in the U.S. Through a combination of surveys and interviews, the research aims to gather essential data on who uses these products, how they affect public health, and their potential role in harm reduction compared to traditional tobacco products. This work is vital for evaluating the impact of nicotine pouches on smoking cessation efforts and overall nicotine dependence.
Stephanie Shiau · Mathematics & Statistics
Dr. Stephanie Shiau's lab focuses on understanding how maternal inflammation during pregnancy impacts the neurodevelopment of offspring. By studying the relationship between maternal health and the biological aging of children, the lab aims to identify biomarkers that can predict neurocognitive outcomes in early childhood. The research combines expertise from various fields such as child health, immunology, and biostatistics to explore these critical developmental connections.
Greta Bushnell · Mathematics & Statistics
Dr. Greta Bushnell's lab at Rutgers Biomedical and Health Sciences focuses on understanding the safety and effects of sleep medications in youth, particularly those with Attention Deficit Hyperactivity Disorder (ADHD). The research aims to evaluate how commonly prescribed sleep medications may interact with ADHD treatments and their potential adverse effects. The lab's work is essential in informing care and improving health outcomes for young people suffering from sleep issues.