Principal Investigator Mauricio Santillana, Ph.D. Professor of Physics and Electrical and Computer Engineering Network Science Institute, Northeastern University |
The Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE), now based at the Network Science Institute, at Northeastern University and the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health (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:
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Latest news
5/2024
Xiyu Yang and Daniel Gonzalez have been admitted to the Network Science PhD program at NU and will be joining the MIGHTE Lab. Congratulations, Xiyu and Daniel! 4/2024
Professor Santillana will discuss about ‘Utilizing machine learning for epidemic outbreak forecasting’ on May 5th-10th at the 6th Meeting of Mexican Mathematicians in Oaxaca, Mexico. 4/2024
On April 9th, Nicole Kogan and Binod Pant, members of our MIGHTE lab, successfully defended their PhD theses on their research into infectious disease tracking and the development of mathematical models to measure the spread of COVID-19. Congratulations, Nicole and Binod! 4/2024 Professor Santillana participates in the Insight Net Annual Meeting held at the University of North Carolina in Chapel Hill from April 15th to 18th. Insight Net aims to provide better forecasting data and analytics to public health decision-makers, enabling them to make informed decisions to protect their communities and families during public health emergencies.. |