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
12/2024
Prof. Santillana presented the ongoing performance of an Early Warning System to anticipate sharp increases of Influenza-like Illnesses in the US to the InsightNet community (a network of professionals that work closely with the Centers for Disease Control and Prevention on National Outbreak Analytics ) on December 4th. 11/2024
Prof Santillana will attend the 2024 Annual CSTE-CDC Infectious Disease Forecasting & Modeling Workshop from November 19-21, 2024, in Atlanta, GA. 11/2024
Binod Pant will attend the Network Annual Meeting MIDAS 2024 in Maryland from November 17 to 19. He will give a lightning talk on "Modeling the Impact of Human Behavior on SARS-CoV-2 Transmission Dynamics and Analyzing Survey-Collected Behavioral Data." 10/2024 Professor Santillana participates as a Distinguished Colloquium Series Speaker at the Department of Mathematics at the College of Arts and Sciences at Oklahoma State University on October 18th. |