The Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE), now based at the Network Science Institute, at Northeastern University (from 2017 to 2022, our research lab, the Machine Intelligence Lab, was based at Boston Children’s Hospital) has a multidisciplinary research agenda. Our research involves the conception and implementation of machine intelligence analytics tools, capable of predicting unobserved events in epidemiology and healthcare in the immediate or near future. Our work ranges from tracking disease outbreaks around the Globe, leveraging information from big data sets from Internet-based services (such as Google search activity, Twitter microblogs, Weather, Human Mobility, Electronic Health Records), to bed-side patient-centered monitoring approaches aimed at improving care in clinical settings. We also focus on the use of mathematical approaches to discover relationships between relevant outcomes in the health, physical and environmental sciences. For example we have studied the influence of climate change on the prevalence of antibiotic resistant infections, or the role of socio-economic factors and political leaning and mortality during the COVID-19 pandemic.
Generally speaking, our approaches use machine learning techniques to identify patterns that have occurred historically that may be predictive of specific and future events of interest, for example:
Iris Lang chosen as a recipient of the Fall 2022 Harvard College Research Program award to continue her research with our lab. Congratulations, Iris!
Matthew Baum, Roy Perlis, Mauricio Santillana present their perspectives on "Trust in Science during the Vaccine Phase of the COVID-19 pandemic in the U.S." at the Harvard Kennedy School's Vaccine Hesitancy: Between Miracle and Mistrust Workshop.
Nicole Kogan, Lucas M. Stolerman, and Mauricios Santillana, present their research and perspectives at the NIH MIDAS meeting (link) in Bethesda, MD
Team member Nicole Kogan chosen as a recipient of NIH T32 Training Grant in Epidemiology of Infectious Disease to support her Ph.D. studies in the Interdisciplinary Concentration in Infectious Disease Epidemiology Congratulations at the Harvard T. H. Chan School of Public Health, Congratulations, Nicole!
Team member Iris Lang chosen as one of the 2022 Summer Program for Undergraduates in Data Science (SPUDS) Participants. SPUDS is a prestigious program sponsored by the Harvard Data Science Initiative. Congratulations, Iris! Read more...
Team member Lucas Stolerman will join the Mathematics department at Oklahoma State University in January 2022. He will continue collaborating with our team. Congratulations, Lucas! Lucas updated website here
Team leader Mauricio Santillana featured in NIH's and Scolastic Pathways "The Vaccine Science Issue", alongside with Vice President Kamala Harris
Team member Skyler Wu chosen as one of the Inaugural recipients of the Summer Program for Undergraduates in Data Science (SPUDS) sponsored by the Harvard Data Science Initiative. Congratulations, Skyler! Read more...