Dr. Marguerite Nyhan is a Lecturer (US equivalent - Assistant Professor) at the National University of Ireland - University College Cork and a Visiting Scientist at Harvard University in Boston. Prior to joining University College Cork, she was a Research Scientist at the United Nations in New York City. She has a background in environmental engineering, urban analytics and public health and is interested in informing the design of healthy and sustainable cities of the future. Nyhan has published research on using large ICT datasets for evaluating urban dynamics at a city-wide scale, evaluating emissions and exposures to pollution, and determining their human health impact. Her current work focuses on harnessing emerging technologies for sustainable development and humanitarian efforts - for example, through the analyses of massive datasets and the application of novel machine learning models.
While conducting her PhD in environmental engineering in Trinity College Dublin, Nyhan was awarded a Fulbright Scholarship to study at Massachusetts Institute of Technology in Boston. Following that, she was a Post-Doctoral researcher at MIT where she led the Urban Environmental Research Team within the Senseable City Laboratory. She was then a Post-Doctoral researcher at Harvard University before joining the United Nations. Marguerite's work has been featured extensively in the media, including in the Guardian newspaper and NPR. She has spoken to a range of audiences globally; from lecturing at MIT and Harvard, and giving a TED talk in her home country of Ireland to addressing the United Nations Environment Assembly in Kenya. She remains an active scientist with Harvard University and an affiliate of MIT.
National University of Ireland - University College Cork - Lecturer (US equivalent - Assistant Professor)
Civil & Environmental Engineering Department, School of Engineering, University College Cork, Ireland
United Nations - Research Scientist
United Nations Global Pulse, Executive Office of the Secretary-General, UN HQ, New York City, United States
Harvard University - Post-Doctoral Research Fellow
Harvard TH Chan School of Public Health, Harvard University, Boston, United States
Massachusetts Institute of Technology - Post-Doctoral Research Fellow & Urban Environmental Research Lead
Senseable City Laboratory, Department of Urban Studies & Planning, MIT, Boston, United States
Massachusetts Institute of Technology - Visiting PhD Student & Fulbright Scholar
Trinity College Dublin Ireland - PhD in Civil & Environmental Engineering
National University of Ireland - University College Cork - BEng in Civil & Environmental Engineering
First Class Honours Degree awarded. Interned at the Irish Environmental Protection Agency
Nyhan, M., Coull, B.A., Gold, D., Schwartz, J., Koutrakis, P., 2019. Associations Between Ambient Particle Radioactivity and Lung Function. Environment International. Accepted 29th April 2019. (Impact Factor 7.3)
Li, W., Nyhan, M., Wilker, E.H., Vieira, C.L.Z., Lin, H., Schwartz, J.D., et al., 2018. Recent Exposure to Particle Radioactivity and Biomarkers of Oxidative Stress and Inflammation: The Framingham Heart Study. Environment International. https://www.ncbi.nlm.nih.gov/pubmed/30376999 (Impact Factor 7.3)
Boy, J., Pastor, D., Nyhan, M., Moreno Jimenez, R., Macguire, D., Luengo Oroz, M., 2019. Towards an Understanding of Refugee Segregation, Isolation, Homophily & Ultimately Integrating in Turkey Using Call Detail Records. Proceedings of the Data for Refugees Challenge. http://d4r.turktelekom.com.tr/Content/Documents/d4r-proceedings.pdf
Quinn J.A., Nyhan M., Navarro, C., Coluccia, D., Bromley, L., Luengo-Oroz, M., 2018. Humanitarian Applications of Machine Learning with Remote Sensing Data: Review & Case Study in Refugee Settlement Mapping. Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences. 13;376(2128). pii: 20170363. doi: 10.1098/rsta.2017.0363.
Nyhan, M., Britter, R., Kloog, I., Koutrakis, P., Ratti, C., 2018. Quantifying Population Exposure to Air Pollution Using Mobility Patterns Inferred from Mobile Phone Data. Journal of Exposure Science & Environmental Epidemiology (Nature publishing group). doi.org/10.1038/s41370-018-0038-9. https://www.nature.com/articles/s41370-018-0038-9
Nyhan, M., Coull, B.A., Gold, D., Schwartz, J., Koutrakis, P., 2018. Associations Between Ambient Particle Radioactivity and Blood Pressure: The Normative Aging Study. Journal of the American Heart Association. 7(6): e008245. doi: 10.1161/JAHA.117.008245. (Impact Factor 5.5) Link
Nyhan, M., Grauwin, S., Britter, R., Laden, F., McNabola, A., Misstear, B., Ratti., C., 2016. Exposure Track - The Impact of Mobile Device Based Mobility Patterns on Quantifying Population Exposure to Air Pollution. Environmental Science & Technology. 50(17):9671-81. (Impact Factor 6.2) Link
Nyhan, M., Nyhan, M., Sobolevsky, S., Kang, C., Robinson, P., Corti, A., Szell, M., Streets, D., Lu, Z., Britter, R., Barrett, S.R.H., Ratti, C., 2016. Predicting Vehicular Emissions in High Spatial Resolution Using Pervasively Measured Transportation Data and Microscopic Emissions Model. Atmospheric Environment. 140, 352-363. (Impact Factor 4.0) Link
Nyhan, M., Misstear, B., McNabola, A. 2014. Comparison of Predicted Particulate Matter Dose and Heart Rate Variability Response in Cyclists, Pedestrians, Bus and Train Passengers. Science of the Total Environment. 468-469, 821-831. (Impact Factor 4.9) Link
Nyhan, M., Misstear, B., McNabola, A., 2014. Evaluating Artificial Neural Networks for Predicting Minute Ventilation and Lung Deposited Dose of Pollution in Commuting Cyclists. Journal of Transport & Health. 1(4), 305-315. (Impact Factor 2.1) Link
Nyhan, M., Smith, J., Kondor, D., Dadjnak, D., Beevers, S., Ratti, C., Koutrakis, P., 2018. Quantifying Population Exposure to Air Pollution Using Cellular Network Based Mobility Patterns and KCL-Urban Model. Preparing for 2nd review submission, Environmental Science & Technology.
Nyhan, M., Smith, J., Dadjnak, D., Beevers, S., Walton, H., Ratti, C., Koutrakis, P., 2018. Predicting Mortality Attributable to Air Pollution Using Cellular Network Based Mobility Patterns and KCL-Urban Model. In preparation - Proceedings of the National Academy of Sciences.
Nyhan, M., Seiferling, I., Ratti, C., 2018. Quantifying Population Exposure to Greenness Using Cellular Network Based Mobility Patterns and Street-Level Imagery. In preparation – Proceedings of the National Academy of Sciences.
Nyhan, M., Duarte, F., Britter, R., Ratti, C., 2018. Sensing Lights - Evaluating Optimal Traffic Light Signaling for Minimizing Transportation Emissions and Human Exposure to Air Pollution at Intersections. In preparation - Transportation Research Part D: Transport & Environment.
Nyhan, M., Oletic, D., Britter, R., Ratti, C., 2016. Airscapes Singapore - Evaluating Personal Exposure to Air Pollution Using a Distributed Network of Mobile Environmental Sensors and Smartphones - Link to Airscapes Website