Assoc. Prof. Dr. Elena Colicino, Icahn School of Medicine at Mount Sinai, United States
š¬ Dr. Elena Colicino is an Associate Professor in the Department of Environmental Medicine and Public Health at the Icahn School of Medicine at Mount Sinai. She earned her Ph.D. in Statistics from Bocconi University and completed postdoctoral training in Environmental Epidemiology and Epigenetics at Harvard T.H. Chan School of Public Health and Columbia University. Dr. Colicino’s research focuses on biostatistical methods for high-dimensional data, environmental epigenetics, and machine learning, particularly in analyzing the effects of chemical exposures on health outcomes. She has developed innovative statistical approaches and tools, including R packages for mixture analysis. Dr. Colicino has been recognized with several awards for her contributions to epidemiology and public health. š
Publication Profile
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Education and Training
Assoc. Prof. Dr. Elena Colicino’s academic journey began at the University of Milano-Bicocca in Milan, Italy, where she earned a B.Sc. in Economics, Statistics, and Computer Science in 2004. She continued her studies there, completing an M.Sc. in Statistics and Economics in 2007. Dr. Colicino then pursued a Ph.D. in Statistics at Bocconi University, graduating in 2012. Her postdoctoral training included Environmental Epidemiology at Harvard T.H. Chan School of Public Health (2016) and Environmental Epigenetics at Columbia University Mailman School of Public Health (2017). Dr. Colicinoās expertise spans statistics, epidemiology, and epigenetics. šš§¬
Research Focus
Assoc. Prof. Dr. Elena Colicinoās research primarily focuses on environmental epidemiology, epigenetics, and public health. Her studies explore the impact of DNA methylation and epigenetic aging on all-cause mortality, chronic diseases, and cancer. Dr. Colicino also investigates the effects of air pollution on biological aging, metabolic syndrome, and cardiovascular health. Her work on epigenetic signatures of smoking and exposure to pollutants offers insights into the biological underpinnings of complex diseases. Additionally, she contributes to understanding socioeconomic and environmental determinants of health, especially through large-scale cohort analyses and machine learning models for stress prediction. š»š«š
Conclusion
Dr. Elena Colicino’s extensive research portfolio, innovative methodologies, and impactful contributions to environmental health make her a deserving candidate for the Women Researcher Award. Her work not only advances scientific understanding but also holds significant implications for public health interventions, particularly in vulnerable populations.
Publication Top Notes Ā
- š§¬ DNA methylation age of blood predicts all-cause mortality in later life | Cited by: 1173 | Year: 2015
- š§Ŗ DNA methylation-based measures of biological age: meta-analysis predicting time to death | Cited by: 1017 | Year: 2016
- š¬ Epigenetic signatures of cigarette smoking | Cited by: 852 | Year: 2016
- š¤Æ Predicting perceived stress related to the Covid-19 outbreak through stable psychological traits and machine learning models | Cited by: 343* | Year: 2020
- š¬ DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases | Cited by: 314 | Year: 2016
- š§« Blood epigenetic age may predict cancer incidence and mortality | Cited by: 202 | Year: 2016
- š¼ Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis | Cited by: 184 | Year: 2019
- ā¤ļø Blood leukocyte DNA methylation predicts risk of future myocardial infarction and coronary heart disease | Cited by: 182 | Year: 2019
- š Estimating and testing high-dimensional mediation effects in epigenetic studies | Cited by: 172 | Year: 2016
- š Long-term exposure to air pollution is associated with biological aging | Cited by: 146 | Year: 2016